Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Oslo
- National University of Singapore
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Harvard University
- Nature Careers
- Indiana University
- University of Bergen
- University of Michigan
- Zintellect
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- The University of Queensland
- University of Nottingham
- UCL;
- University of British Columbia
- City of Hope
- Humboldt-Universität zu Berlin
- Johns Hopkins University
- The University of Southampton
- UiT The Arctic University of Norway
- University of Texas at Austin
- CSIRO
- INESC ID
- INESC TEC
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- RMIT UNIVERSITY
- University of Birmingham;
- University of Maryland, Baltimore
- University of Stavanger
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Center for Drug Evaluation and Research (CDER)
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Monash University
- OsloMet
- Paul Scherrer Institut Villigen
- UNIVERSITY OF SURREY
- University of Otago
- University of Salford;
- University of Southampton;
- University of Sydney
- Auburn University
- Brandeis University
- Center for Devices and Radiological Health (CDRH)
- Cranfield University
- Dana-Farber Cancer Institute
- Hong Kong Polytechnic University
- Instituto de Telecomunicações
- LIP - Laboratório de Instrumentação e Física Experimental de Partículas
- LNEC, I.P.
- Lawrence Berkeley National Laboratory
- Queen's University Belfast;
- RMIT University
- The University of Alabama
- Universidade do Minho
- University of California
- University of Idaho
- University of Michigan - Ann Arbor
- University of Oxford
- University of South-Eastern Norway
- University of Surrey
- Villanova University
- ;
- ADELAIDE UNIVERSITY
- Aarhus University
- AbbVie
- Amgen
- Associação Universidade-Empresa para o Desenvolvimento - TecMinho
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Barnard College
- CNRS
- CRANFIELD UNIVERSITY
- Carnegie Mellon University
- Centro de Engenharia Biológica da Universidade do Minho
- Curtin University
- Deakin University
- European Space Agency
- FCiências.ID
- Florida Atlantic University
- Forschungszentrum Jülich
- George Mason University
- Georgetown University
- King Abdullah University of Science and Technology
- King's College London;
- Manchester Metropolitan University
- Marquette University
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- NORCE Norwegian Research Centre
- NTNU - Norwegian University of Science and Technology
- National Center of Neurology and Psychiatry
- National Laboratory of Energy and Geology
- Northeastern University
- OCAD University
- Oxford Brookes University
- Oxford Brookes University;
- QUEENS UNIVERSITY BELFAST
- Ryerson University
- Saint Louis University
- Singapore University of Technology & Design
- TAIPEI MEDICAL UNIVERSITY (TMU)
- 90 more »
- « less
-
Field
-
., Python, PyTorch). Practical experience in at least one of: driving simulation, spatiotemporal AI models, or traffic safety analysis. Strong publication record is an advantage. Excellent English
-
complex materials systems. Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation, instrumentation control
-
fundamentals Experience with Python-based experimentation frameworks Familiarity with evaluation metrics (precision, recall, F1, statistical testing) Experience using local LLM infrastructures (e.g., Ollama
-
academic background in machine learning and convex optimization. Prior experience in federated learning, edge computing, or healthcare applications is highly desirable. Proficient in Python and ML frameworks
-
sequence or structure analysis, machine-learning method development, and modern software engineering practices. They should be proficient in Python and Linux-based development, familiar with deep learning
-
interfacial processes in complex materials systems. Advanced data analysis and scientific model development using Python or other scientific programming languages, including experience with automation
-
. Good knowledge of the topic of Cryospheric Processes is a requirement Proficiency in scientific coding and data analysis programming languages, such as Python or MATLAB, is a requirement. Experience with
-
Experience with force measurement techniques (e.g., AFM, micropipette aspiration) or image-based stress inference methods Solid programming skills (e.g. Python, MATLAB, C+) Exposure to active matter concepts
-
, or probabilistic modeling, and be proficient in Python and modern machine-learning frameworks (ideally PyTorch). Experience with single-cell transcriptomics, epigenomics, proteomics, spatial omics, or multimodal
-
, or behavioral data) and be proficient in Python and modern deep-learning frameworks (ideally PyTorch). Experience in computer vision, multimodal data fusion, self-supervised or generative modeling is highly