Sort by
Refine Your Search
-
Country
-
Employer
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- National University of Singapore
- City of Hope
- University of Oslo
- Harvard University
- The University of Queensland
- University of Bergen
- University of Cincinnati
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Center for Drug Evaluation and Research (CDER)
- Indiana University
- King's College London
- Lawrence Berkeley National Laboratory
- Northeastern University
- Tampere University
- University of Agder
- University of California
- University of Nottingham
- University of South-Eastern Norway
- University of Texas at Austin
- Zintellect
- ;
- Argonne
- BU Pulmonary
- CRANFIELD UNIVERSITY
- CSIRO
- Cori Institute of Molecular and Computational Metabolism
- Cornell University
- Dalhousie University
- European Molecular Biology Laboratories
- European Space Agency
- Francis Crick Institute
- Hong Kong Polytechnic University
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- King Abdullah University of Science and Technology
- Macquarie University
- Mayo Clinic
- Montana State University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Nanyang Technological University L J Wong Group
- Northwestern University
- Oden Institute for Computational Engineering and Sciences
- Queen's University Belfast
- Research Center for Molecular Medicine (CeMM), ÖAW
- SciLifeLab
- Singapore University of Technology & Design
- Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine
- Technical University of Munich
- The Cyprus Institute
- The Institute of Cancer Research;
- University of Beira Interior
- University of Birmingham
- University of British Columbia
- University of California, San Diego
- University of Idaho
- University of Liverpool
- University of Liverpool;
- University of Michigan
- University of Michigan - Ann Arbor
- University of Notre Dame
- University of Nottingham;
- University of Stirling
- University of Surrey
- University of Surrey;
- Université de Strasbourg
- Visterra, Inc.
- 58 more »
- « less
-
Field
-
.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.) Proficiency in programming tools and languages, e.g., MatLab, Python, Modelica, C, ForTran, etc. We
-
, generating process, material, and structural data to support model development, validation, and process consolidation. Develop and apply physics-based and data-driven modeling frameworks to describe, predict
-
College Cork to develop innovative modelling and analysis methods for complex infrastructure systems. The project will develop data-driven hybrid models that capture the interaction between physical
-
& optimization modelling, and data-driven assessment of compliance pathways, fuel transition, and strategic implications for shipping and maritime ecosystem. Key Responsibilities Conduct quantitative and scenario
-
. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine
-
foundation performance with renewable thermal energy exchange. Based within the University of Surrey's School of Engineering, the successful candidate will lead the project's computational modelling strand
-
-specific engineering/mechanics modeling tools into a unified AI-driven digital twin testbed. AI Safety & Privacy Execution: Implement secure-by-design agentic architectures, including sandboxing, tenant
-
to enable high quality work in strategic directions that are of significant impact to industry, science and technology. The Research Fellow will contribute to the development of an AI-assisted, data-driven
-
skills with the ability to bridge the gap between theoretical models and experimental results. Excellent problem-solving abilities and a methodical, data-driven approach to research. Ability to work
-
the gap between conventional deterministic safety assurance approaches and emerging data-driven and autonomous technologies, helping to define future ESA frameworks, standards, and practices for crewed