Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Harvard University
- National University of Singapore
- Carnegie Mellon University
- Hong Kong Polytechnic University
- Nature Careers
- INESC TEC
- NTNU - Norwegian University of Science and Technology
- Center for Devices and Radiological Health (CDRH)
- Center for Drug Evaluation and Research (CDER)
- University of British Columbia
- Zintellect
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- INESC ID
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northeastern University
- Singapore University of Technology & Design
- UiT The Arctic University of Norway
- Universidade de Coimbra
- University of Bergen
- University of Manchester
- University of Michigan
- University of Sydney
- CNRS
- City of Hope
- Curtin University
- FCiências.ID
- Humboldt-Universität zu Berlin
- Instituto de Telecomunicações
- Johns Hopkins University
- The University of Manchester;
- The University of Queensland
- University of London
- University of Maryland, Baltimore
- AALTO UNIVERSITY
- Aarhus University
- Associação Universidade-Empresa para o Desenvolvimento - TecMinho
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Aston University
- Centro de Engenharia Biológica da Universidade do Minho
- Cornell University
- Dana-Farber Cancer Institute
- Helsinki Institute for Information Technology
- IMT Atlantique
- Indiana University
- Institut national de la recherche scientifique (INRS)
- Instituto de Engenharia Mecânica
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- Macquarie University
- Max Planck Institute of Biochemistry, Martinsried
- Monash University
- National Laboratory of Energy and Geology
- Oxford Brookes University
- Oxford Brookes University;
- Politécnico de Leiria
- RMIT UNIVERSITY
- RMIT University
- Ryerson University
- SciLifeLab
- The California State University
- UNIVERSITY OF MELBOURNE
- Umea University
- Universidade do Minho
- University of Algarve
- University of Birmingham
- University of California, San Francisco
- University of Houston
- University of New South Wales
- University of North Carolina at Chapel Hill
- University of North Carolina at Charlotte
- University of Nottingham
- University of Otago
- University of Oxford
- University of Texas at Austin
- Université Gustave Eiffel
- Østfold University College
- 70 more »
- « less
-
Field
-
or Research Fellow to contribute to groundbreaking quantum algorithms research led by Dr Riddhi Gupta and Associate Professor Sally Shrapnel. You’ll work at the forefront of theory, simulation and
-
Responsibilities Participate in the research project to design a microgrid controller for grid interactive building applications. Develop control algorithms for dynamic master selection, coordinating BESS, PV
-
Olivier Gossner and funded by an advanced ERC grant. The research themes include information asymmetries and belief hierarchies, encompassing their modeling, applications, and algorithmic aspects. Research
-
models, focusing on industrial image analysis Develop advanced deep learning methods for power battery inspection models Design and implement novel algorithms for AI-based CT imaging Lead experimentation
-
data-driven analysis algorithms for the assessment of thin-film solar cell fabrication processes within NOMAD Oasis installations. The team is responsible for the installation and development of (meta
-
algorithmic advances and aim at publishing them at these top venues. More details about the position can be found here. As a KAUST postdoc or researcher, you will have access to state-of-the-art research
-
computing devices, and cloud analytics pipelines. Implement AI-driven diagnostics and battery state estimation algorithms. Collaborate closely with industry stakeholders to co-develop next-generation battery
-
include: Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines. Build reproducible research pipelines and maintain reliable
-
, and uncontrolled approximation errors. In this project, we aim to develop novel diffusion and flow-based models, and associated algorithms, which can more efficiently and effectively solve inverse
-
under project guidance. Documentation: Produce and maintain technical documentation, including pipeline workflows, algorithms, QC procedures, and SOPs to ensure reproducibility. Communication: Communicate