profile-logo-default.png

Almazov National Medical Research Centre

The Almazov National Medical Research Center has its roots in the Research Institute of Cardiology, first founded in St Petersburg, Russia in 1980. In 2017, the centre received national status and was renamed the Almazov National Medical Research Centre. Today, it’s a principal institution for Russia’s medical research and training. 
Undergraduate students can take the six-year programme in general medicine, equipping them with the skills and practical knowledge to go straight into a medical career. Students can specialise in 28 different areas, including radiology, haematology, paediatrics and many more. The graduate school offers three further areas of study, including biological sciences, fundamental medicine and clinical medicine. 
The institution’s founder, Vladamir Almazov, made great contributions to the world of medicine and laid the framework for cardiology research that now serves as the basis for the Russian Scientific Research Institute of Cardiology. With over 300 scientific papers published, Almazov is considered one of Russia’s greatest medical professionals and his work is a great inspiration to current staff and students.

Almazov National Medical Research Centre | World University Rankings | ɫ��ֱ��

Times Higher Education

Overview

For Students

Teaching and Research

Basic information and contact details for Almazov National Medical Research Centre

About Almazov National Medical Research Centre

Make your university stand out by adding more stats, events and more.

Do you work for this institution?

Good Health and Wellbeing

Quality Education

Peace, Justice and Strong Institutions

World University Impact Rankings - Working Together 2021

World University Impact Rankings - Clean Water 2022

World University Impact Rankings - Gender Equality 2023

World University Impact Rankings - Economic Growth 2024

World University Impact Rankings - Life below Water 2025

Select the type of ranking below to see stats

Sustainability Impact Ratings

About

Rankings

Impact Ratings

Key stats

Jobs

Subjects

Downloads

FAQs

Suggested universities

United Kingdom, Southampton

Winchester School of Art is proud to be one of the UK’s leading Art Schools and part of the world-renowned University of Southampton, a founder member of the Russell Group of research-intensive universities. Our research-intensive environment and international student body provide a rich ground for interdisciplinary thinking and making at the nexus of art, science, technology, and culture.

This role involves working with students at undergraduate and postgraduate level, from across all programmes in the School. You will be a key part of our existing Technical Services team. You will oversee the Media Stores Facility and support and advise students and staff in their requests for equipment loans. In addition to that you will be able to deliver support and technical instruction in the use of specialist cameras, audio-visual equipment and facilities.

You should be an effective communicator, and innovative, with strong organisational and creative skills. Guiding students to reach their potential will be at the heart of what you do. We are looking for knowledge and experience of industry level equipment. Keeping up to date with technological advances in the area. An aptitude for problem solving and assisting students in realising their projects. To do so, you will be adept at communicating to a diverse range of individuals from varying backgrounds and have specialist knowledge and understanding of race, multiculturalism, and diversity.

About the University:

The University promotes a healthy work life balance with a generous holiday allowance, defined benefit pension, flexible working, generous parental leave, and childcare provision. For more information on our benefits, please visit our human resources pages.

Our vision and mission at the University of Southampton is to have a community where staff and students feel welcome, supported and valued. The Faculty of Arts & Humanities is proactive in fostering a culture of inclusion, respect and equality of opportunity. We encourage applicants from diverse backgrounds, with the belief that excellence will be achieved through recognising the value of every individual.

Working at the University of Southampton:

Check out the staff benefits and why you should join us at The University of Southampton!

For a full list of the role tasks and responsibilities, please see the attached Job Description & Person Specification. 

Informal enquiries may be made to Andrew Brook (aib@soton.ac.uk)


University of Southampton

Singapore

Schemes of Service: Research
Division: Engineering
Employment Type: Fixed Term

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to develop industry-relevant applied research skillsets while working on translational robotics and AI projects.

The primary responsibility of this role is to support a joint SIT–DSO research project focused on evaluating and developing humanoid robot capabilities for door opening and doorway traversal in human-centric environments. The Research Engineer will contribute to humanoid robot system integration, teleoperation-based data collection, simulation-based synthetic data generation using NVIDIA Isaac Sim, and learning-based policy development for manipulation and locomotion tasks. The role will involve both experimental robotics work and AI model development for sim-to-real humanoid manipulation research.

Key Responsibilities


	Participate in and manage the research project together with the Principal Investigator (PI), Co-PI, and research team members to ensure project deliverables are achieved.
	Undertake the following responsibilities in the project:


i. Humanoid Robot System Integration


	Configure and integrate humanoid robot hardware and software systems for door opening and doorway traversal tasks.
	Support calibration, perception, locomotion, manipulation, and control pipeline integration.


ii. Experimental Testbed Development


	Design and set up representative door interaction experimental environments.
	Conduct baseline testing and benchmarking for humanoid manipulation and traversal tasks.


iii. Teleoperation and Data Collection


	Develop and operate teleoperation pipelines for humanoid robot data collection.
	Collect, process, and manage robot demonstration datasets including perception, robot states, and control data.


iv. Simulation and Synthetic Data Generation


	Develop simulation environments and synthetic data generation workflows using NVIDIA Isaac Sim and Omniverse technologies.
	Implement domain randomization and scenario variation pipelines for robust sim-to-real learning.


v. AI Model Development


	Support development and evaluation of learning-based control policies using reinforcement learning, imitation learning, and visuomotor learning approaches.
	Assist in model training, testing, benchmarking, and deployment on real robotic platforms.


vi. Research and Technical Reporting


	Conduct literature reviews and experimental studies related to humanoid robotics and sim-to-real learning.
	Prepare technical reports, publications, and presentation materials for project reviews and dissemination.
	Carry out Risk Assessment and ensure compliance with Workplace Safety and Health regulations.
	Coordinate procurement and liaison with vendors/suppliers.
	Work independently and within a multidisciplinary team to ensure proper operation and maintenance of robotics equipment and experimental infrastructure.
	Assist in co-supervision of Final Year Project (FYP) or capstone students together with the project PI.
	To communicate and liaise with internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by Supervisors.


Key Requirements


	Bachelor’s, Master’s, or PhD degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related fields.
	Experience in robotics software development using ROS/ROS2.
	Experience with robotic simulation platforms such as NVIDIA Isaac Sim, Isaac Lab, Gazebo, or MuJoCo.
	Familiarity with humanoid robots, robotic manipulators, or locomotion systems.
	Knowledge of machine learning, reinforcement learning, imitation learning, or computer vision techniques for robotics applications.
	Strong analytical and problem-solving skills.
	Good written and verbal communication skills.
	Ability to work independently and collaboratively in multidisciplinary teams.
	The following will be advantageous:
	
		Experience with teleoperation systems and data collection pipelines.
		Experience with NVIDIA Omniverse or sim-to-real workflows.
		Experience with reinforcement learning frameworks or visuomotor policy training.
		Experience working with dexterous hands or humanoid manipulation platforms.
	
	


Key Competencies


	Strong interest in robotics and embodied AI research.
	Able to build and maintain strong working relationships with internal and external stakeholders.
	Self-directed learner with strong initiative and ownership of work.
	Strong analytical and critical thinking skills.
	Proficient in technical writing and presentation.
	Able to work effectively in experimental and rapidly evolving research environments.



Singapore Institute of Technology (SIT)

EUR 5,014.30 on a full-time basis (14 times per year)

Austria, Vienna Danubepier Hov



At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/an

University Assistant postdoctoral

56 Faculty of Mathematics
Startdate: 01.11.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc)
Limited until: 31.10.2029
Reference no.: 5801

The Faculty of Mathematics at the University of Vienna is the largest Austrian institution of mathematical research and tertiary education in the mathematical sciences. It consists of active research groups in a wide range of fields, starting from logical foundations, bridging all classical core subjects, and up to concrete applications in industry. As part of the Faculty, the Institute of Mathematics represents the entire discipline of mathematics in research and teaching, without making an arbitrary separation into pure and applied fields.

We are looking for an open, innovative, and productive colleague who enjoys working in an international and interdisciplinary environment. Does that sound like something for you? Apply to join our team!

Your professional field of activity:

We are looking for a University Assistant Postdoc to further strengthen the research group “Quantum Information and Quantum Many-Body Physics”, led by Prof. Norbert Schuch, which is located jointly at the Faculty of Mathematics and the Faculty of Physics. We are seeking a highly qualified researcher with a strong background in tensor network methods, in particular the development of numerical tensor network algorithms, and their application in the study of strongly correlated quantum matter. The successful candidate is able to actively contribute to the research profile of both the Faculty of Mathematics and the Faculty of Physics, teach courses (max. 4 hours/week per semester), and carry out co-mentoring of bachelor, master, and PhD students. More information about our research areas and about our team can be found on our homepage at https://schuch.univie.ac.at/. As a team, we understand the importance of a positive, inclusive, and respectful working environment. We regularly exchange ideas about current topics and projects in our group meetings.

The start of the contract is the 1st of November 2026 or later, the exact starting date is negotiable. The employment period is 3 years from the beginning of the contract.

Your future tasks:

Active participation in research, teaching & administration, which means:


	Collaboration and research in the field of Quantum Information and Quantum Many-Body Physics:

	
		You identify and address research questions in the field of Quantum Information and Quantum Many-Body Physics, with a focus on the development of moder numerical tensor network algorithms, in particular in two and higher dimensions, and their application to the comprehensive study of quantum matter and topologically ordered phases.
		You become an active team member of the “Quantum Information and Quantum Many-Body Physics" research group.
	
	
	Interdisciplinary collaboration:
	
		You participate in international scientific collaborations, as well as in international conferences and workshops.
	
	
	Collaboration in teaching and administration:
	
		You participate in the administration of the institute, teaching, and research.
		You hold courses and examinations in accordance with the provisions of the collective bargaining agreement and you (co-)supervise students.
	
	


Required Qualifications/Position requirement:


	Doctorate in mathematics, theoretical physics, or a related area, completed and certificate provided in due time before the start of the contract.
	Strong expertise in the development of modern numerical tensor network methods for two-dimensional quantum systems (PEPS algorithms), and their application to the comprehensive study of topologically ordered systems.
	Proven track record in acquiring third party funding.
	Research competence & initiative demonstrated through international publications in peer-reviewed media.
	Excellent command of English, both written and spoken
	You are goal-oriented and have a high motivation to strive for scientific excellence.
	You are not entitled to compensation for travel and accommodation expenses incurred in connection with the admission process.


What we offer:


	Work-life balance: The compatibility of work and private life or work and study is a particularly important concern for us. In consultation with the team and team management, you can therefore organize your working hours flexibly and in a family-friendly manner and also work partially from home within the university’s respective framework.
	Inspiring working atmosphere: You are part of an international team with excellent research infrastructure in a relaxed working environment.
	Good public transport connections: Your new workplace is easily accessible by public transport.
	Climate neutrality - sustainability: The University of Vienna contributes to the achievement of climate goals by means of an adopted sustainability strategy and aims to achieve climate neutrality by 2030 through the reduction of resource consumption, resource-saving and sustainable procurements.
	Fixed-term contract and adequate salary: The basic salary corresponds to the collective agreement for employees of the universities according to § 48 salary group B1 lit b basic level (postdoc): EUR 5,014.30 on a full-time basis (14 times per year). The actual salary is finally determined depending on professional experience and qualification. The gross salary covers all benefits of the employee in quantitative and qualitative terms (= all-in payment).
	Internal training and coaching: We offer you ongoing opportunities to deepen your skills. Choose from an extensive range of courses free of charge.
	Benefits: The University of Vienna also offers you numerous benefits, such as a company pension fund, travel allowances, low-cost parking, discounted IT (hardware and software), special rates for language courses offered by the university language center, advancement of women, diversity management and specific career advancement, inclusion, Papamonat, flexible childcare, vacation care for children, health care, vaccination campaigns and fitness offers (special rates for USI sports courses) as well as discounts for employees at various companies.
	Equal opportunities for all: We welcome every additional personality to the team!


Is your interest in this attractive and varied field of activity with autonomous areas of responsibility now aroused? Would you like to take on this new challenge? To actively contribute to the current and future major scientific issues of the research team around Prof. Schuch and, above all, to become even better at what you can already do?

Then we are looking forward to you and your meaningful application:


	with your letter of motivation,
	a scientific CV, including a list of publications, talks, third-party funding, and teaching activities (if applicable),
	a research statement describing your future plans in research,
	your certificate of a completed PhD programme (to be provided at the latest before the start of the contract) and
	contact details of two persons who can provide letters of reference upon request


either:


	via our job portal by clicking on "Create Profile - Login & Logout" in the header on the upper right, or
	directly in this job posting by clicking the "Apply now" - Button on the bottom right side.


If you have any questions, please contact:

Norbert Schuch

norbert.schuch@univie.ac.at

We look forward to new personalities in our team!
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

University of Vienna. Space for personalities. Since 1365.

Data protection

​Application deadline: 08/19/2026

Post Doc


University of Vienna

The Health and Social Sciences Cluster at SIT has been at the forefront of allied health education and research, offering a suite of allied health programmes and two nursing programmes.

As a young university, we foster an academic environment that seamlessly integrates teaching, applied research and clinical practice. We offer competitive remuneration, generous employment benefits, access to funding to undertake clinical research, and opportunities to inspire and nurture the next generation of skilled allied health and nursing professionals.

About the Positions

We currently have positions available from Assistant Professor to Full Professor, for the following disciplines:


	Diagnostic Radiography
	Dietetics
	Nursing
	Occupational Therapy
	Physiotherapy
	Speech and Language Therapy


Applicants should meet all the criteria below:

(a) an earned PhD in the respective healthcare discipline from a reputable university;
(b) excellent research track record;
(c) deep clinical experience in the respective healthcare discipline.

We will prioritise collegial and team-spirited candidates with an earned PhD in a related discipline from a reputable university, plus relevant work experience or experience of industry-linked applied research projects.

Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below. 


Schemes of Service: Research
Division: Health and Social Sciences
Employment Type: Fixed Term

Job Purpose

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to develop applied research capabilities that are relevant to industry and workforce needs while working on research projects in SIT.

The primary responsibility of this role is to lead the design, implementation, analysis and translation of a multi-institutional applied research programme that will develop and validate a Digital Adult Learning Quality Index and benchmark the quality, impact and value of digital continuing education and training courses.

Key Responsibilities


	Lead the day-to-day scientific and operational delivery of the project with the Principal Investigator, ensuring that milestones, deliverables, timelines and quality standards are met.
	Lead co-design activities, including stakeholder workshops, literature and framework synthesis, item generation and refinement, Delphi rounds and pilot testing of the instrument.
	Design and implement the pilot and multi-provider field studies involving approximately 1,000 adult learners across live-online, self-paced and hybrid CET courses, including study protocols, sampling plans, measurement schedules and data-quality procedures.
	Lead psychometric and statistical analyses, such as reliability and validity assessment, factor analyses and multilevel/moderation analyses,
	Develop and refine research instruments and workflows, such as surveys and telephone interviews
	Coordinate with CET providers, academic collaborators, enterprise representatives and vendors; manage meetings, documentation, action tracking, ethics/data-sharing requirements and cross-institutional data delivery.
	Supervise and mentor the Research Engineer/Research Assistant and student assistants; allocate work, monitor progress and provide training in research protocols, participant management, data handling and reproducible analysis.
	Lead the preparation of progress reports, manuscripts, conference presentations and policy-ready outputs
	Maintain complete and reproducible research records; ensure compliance with IRB, PDPA, data-management, information-security and Work, Safety and Health requirements; and coordinate relevant procurement and vendor liaison.


Job Requirements


	PhD in psychology, education, learning sciences, behavioural or social sciences, psychometrics, statistics/data science, human-computer interaction, public policy or a closely related discipline; or a Bachelor’s/Master’s degree with at least eight years of relevant research or industry experience.
	Strong training and practical experience in quantitative research methods, survey development, psychometric validation and applied programme or learning evaluation.
	Proficiency in statistical analysis using R, Python, SPSS, Stata, Mplus or equivalent software; experience with reproducible workflows and data visualisation is expected.
	Demonstrated ability to design and manage complex studies involving multiple stakeholders, sites, data sources and longitudinal follow-up.
	Excellent written and spoken communication, with evidence of high-quality research reports, publications and/or presentations.
	Experience in adult learning/CET, digital learning, learning analytics or mixed-methods research, and familiarity with LMS/telemetry or cost-effectiveness analysis, will be advantageous.


Key Competencies


	Strong project leadership, planning and prioritisation skills, with the ability to manage interdependent workstreams and deliverables.
	Advanced analytical and critical-thinking skills, intellectual curiosity and the ability to devise practical solutions to research problems.
	Ability to build trusted working relationships with academic, government, training-provider, enterprise and learner stakeholders.
	Clear technical writing, presentation and facilitation skills, including the ability to communicate complex findings to non-technical audiences.
	Strong initiative, ownership, attention to detail and commitment to research integrity and data quality.
	Collaborative and supportive leadership style, with the ability to mentor junior team members and adapt to changing field conditions.



You may want to explore jobs from other universities which are relevant to you

Jobs you might be interested in

A breakdown of student statistics at Almazov National Medical Research Centre

Key Student Statistics

Select the type of rankings below to see stats

Clinical & Health: Medicine & Dentistry

Clinical & Health: Other Health

Life sciences: Biological Sciences

Physical sciences: Physics & Astronomy

Psychology: Psychology

See below for a range of subjects taught at Almazov National Medical Research Centre

Subjects Taught at Almazov National Medical Research Centre

ɫ��ֱ��

Almazov National Medical Research Centre

Company

Legal