Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Stanford University
- Carnegie Mellon University
- EPFL
- Oak Ridge National Laboratory
- Texas A&M University
- Bowdoin College
- Cornell University
- Harvard University
- Princeton University
- University of Washington
- Chalmers University of Technology
- NEW YORK UNIVERSITY ABU DHABI
- University of Luxembourg
- University of North Carolina at Chapel Hill
- Aarhus University
- Eindhoven University of Technology (TU/e)
- University of Oxford
- Yale University
- FAPESP - São Paulo Research Foundation
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Umeå University
- CNRS
- Duke University
- King's College London
- Leiden University
- Pennsylvania State University
- SciLifeLab
- Technical University of Munich
- University of Lund
- Utrecht University
- Aalborg University
- Argonne
- Brookhaven National Laboratory
- Computer Vision Center
- Durham University
- ETH Zürich
- Human Technopole
- KTH Royal Institute of Technology
- Lunds universitet
- Maastricht University (UM)
- Northeastern University
- Queen Mary University of London
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University of Florida
- University of Minnesota
- University of Turku
- Vrije Universiteit Brussel
- Wageningen University & Research
- ;
- Bar Ilan University
- Bournemouth University;
- Campbell University
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Central European University
- Copenhagen Business School
- East Carolina University
- Ellison Institute of Technology
- Forschungszentrum Jülich
- HITS gGmbH
- Helmholtz Association of German Research Centres
- Helmholtz-Zentrum Berlin für Materialien und Energie GmbH
- Helmholtz-Zentrum Hereon
- ICN2
- INSERM
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Imperial College London
- Imperial College London;
- Institut Pasteur
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Istituto Italiano di Tecnologia
- KU LEUVEN
- Lancaster University
- Linköping University
- Loyola University
- Ludwig Princeton Branch, Princeton University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Massachusetts Institute of Technology
- Max Planck Institute for Physics, Garching
- Max-Delbrück-Centrum für Molekulare Medizin
- McGill University
- Mohamed bin Zayed University of Artificial Intelligence
- Nagoya Institute of Technology
- Nencki Institute of Experimental Biology
- New York University
- Norwegian University of Life Sciences (NMBU)
- PONS Fudan
- Purdue University
- Queen Mary University of London;
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Research Center for Molecular Medicine (CeMM), ÖAW
- Saarland University
- Saint Louis University
- Tufts University
- UNIVERSIDAD POLITECNICA DE MADRID
- Universidade de Sao Paulo
- Universitat de les Illes Balears
- Universiteit Leiden
- 90 more »
- « less
-
Field
-
. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (www.foylab.xyz/) https://foylab.xyz/ , developing machine learning, computational, and mathematical models for improving
-
depth in some of the following areas (not all are required): Large-scale data analysis and learning analytics methods Experimental or quasi-experimental design; validity and measurement Working with LLMs
-
research in the natural, mathematical and computer sciences with a focus on the processing, structuring, and analyzing of large amounts of complex data and the development of computational methods and
-
data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
-
of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models
-
for high-dimensional dependent data, and data sketching approaches for massive data. Opportunities to Contribute: Develop statistical/machine learning methodology for multi-modal imaging data integration
-
. Desirable experience in AI-assisted image analysis, machine learning, computational modelling, or building predictive models from biological imaging or cell–material interaction datasets. Strong experience in
-
)design; integrating multi-source datasets, including street-view imagery, GIS data, smartphone mobility data, and qualitative insights; applying and adapting state-of-the-art foundational AI and machine
-
. Education and scholarly development The postdoctoral associate will receive structured education in computer vision applications in medical imaging, machine learning, research methodology, responsible conduct
-
infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable use of clinical data for AI and machine learning applications in complex diseases such as Cancer, Alzheimer's