Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Texas A&M University
- Stanford University
- Bowdoin College
- Carnegie Mellon University
- Harvard University
- Oak Ridge National Laboratory
- Princeton University
- University of Oxford
- Cornell University
- EPFL
- Yale University
- University of Washington
- Durham University
- Leiden University
- UNIVERSITY OF HELSINKI
- University of Luxembourg
- Argonne
- Brookhaven National Laboratory
- CNRS
- Duke University
- King's College London
- Northeastern University
- Pennsylvania State University
- Queen Mary University of London
- SciLifeLab
- UNIVERSITY OF VIENNA
- Vrije Universiteit Brussel
- ;
- Aarhus University
- Bar Ilan University
- Campbell University
- Central European University
- Computer Vision Center
- ETH Zürich
- Forschungszentrum Jülich
- Heidelberg University
- Helmholtz-Zentrum Hereon
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Imperial College London
- Institut Pasteur
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- KU LEUVEN
- Lunds universitet
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Massachusetts Institute of Technology
- Max Planck Institute for Physics, Garching
- McGill University
- Mohamed bin Zayed University of Artificial Intelligence
- Nencki Institute of Experimental Biology
- Norwegian University of Life Sciences (NMBU)
- Queen Mary University of London;
- Saarland University
- Technical University of Munich
- Texas A&M AgriLife
- The University of Arizona
- Tufts University
- UNIVERSIDAD POLITECNICA DE MADRID
- Umeå University
- Universidade de Sao Paulo
- Universiteit Leiden
- University College Cork
- University of Basel
- University of California Irvine
- University of Connecticut
- University of Florida
- University of Illinois at Urbana-Champaign
- University of Kentucky
- University of Liverpool
- University of Manchester
- University of Nebraska Medical Center
- University of North Carolina at Chapel Hill
- University of Oxford;
- University of Sydney
- University of Turku
- University of Tübingen
- University of West London
- Universität Duisburg Essen
- Université de Caen Normandie
- Uppsala University
- Vanderbilt University
- universitypositions
- 71 more »
- « less
-
Field
-
science, or related computational approaches. Candidates must have experience developing or implementing machine learning methods for large-scale data analysis, predictive modeling, or biological discovery
-
of sensorimotor processing. We are recruiting two postdocs: Postdoc in Computer Vision & AI for Behavior Analysis Postdoc in Embodied AI (Reinforcement Learning for Motor Control) Main duties and responsibilities
-
established and emerging bioinformatics, statistical modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics
-
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
-
genomics modalities Background in immunology or inflammatory disease Experience with machine learning methods applied to large data Background in immunology, infectious disease, or inflammatory disease
-
analysis, computer vision, or machine learning, with a clear interest in developing image analysis algorithms and an affinity with medical topics. Good communication and organizational skills are essential
-
criteria We seek a researcher with strong machine learning modelling expertise with experience in the analysis of challenging large-scale data sets. Experience with cellular imaging data or virology
-
networks, from a machine learning and information theory perspective. This basic research project has strong translational potential and aims to elucidate how immune function is altered during sepsis, with
-
will design and implement differential privacy solutions for large-scale scientific data models in federated learning environments. You will advance privacy-preserving machine learning by developing
-
of Singapore, and EPFL (Switzerland). These partners are looking for talents in several domains of machine learning, AI, computational biology, and biology, to develop PhD theses across the main pillars