Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Carnegie Mellon University
- Oak Ridge National Laboratory
- University of Oxford
- Argonne
- Texas A&M University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- New York University
- Cornell University
- Stanford University
- Technical University of Denmark
- University of Luxembourg
- University of North Carolina at Chapel Hill
- Aarhus University
- University of Oslo
- Chalmers University of Technology
- Duke University
- ETH Zürich
- NEW YORK UNIVERSITY ABU DHABI
- THE UNIVERSITY OF HONG KONG
- University of Oxford;
- University of Washington
- Brookhaven National Laboratory
- CNRS
- Istituto Italiano di Tecnologia
- National Renewable Energy Laboratory NREL
- Princeton University
- Technical University of Munich
- Umeå University
- University of Amsterdam (UvA)
- University of Copenhagen
- Aalborg University
- Arizona State University
- Brown University
- Durham University
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- GFZ Helmholtz-Zentrum für Geoforschung
- Harvard University
- KINGS COLLEGE LONDON
- Leiden University
- Linköping University
- Michigan State University
- Queen Mary University of London;
- Stony Brook University
- Télécom Paris
- University of Basel
- University of Colorado
- University of Lund
- University of Nevada, Reno
- University of South Carolina
- AALTO UNIVERSITY
- AI4I
- Academia Sinica
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Argonne National Laboratory
- BARCELONA SUPERCOMPUTING CENTER
- Bar Ilan University
- Boston University
- Cardiff University
- Center for Theoretical Physics PAS
- Constructor University Bremen gGmbH
- East Carolina University
- Free University of Berlin
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Hong Kong Polytechnic University
- ICN2
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Imperial College London
- Institut Pasteur
- Institut de Físiques d'Altes Energies (IFAE)
- Institute of Theoretical Physics
- Karolinska Institutet (KI)
- King's College London
- LNEC, I.P.
- Leibniz
- Linköpings universitet
- Lunds universitet
- Luxembourg Institute of Health
- Massachusetts Institute of Technology (MIT)
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Extraterrestrial Physics, Garching
- Mälardalen University
- Nagoya Institute of Technology
- Nagoya University
- Northeastern University
- Norwegian Meteorological Institute
- Norwegian University of Life Sciences (NMBU)
- Purdue University
- Rutgers University
- Saint Louis University
- Singapore-MIT Alliance for Research and Technology
- Texas Christian University
- The University of Edinburgh;
- The University of Iowa
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF VIENNA
- Umeå universitet
- Universidad Nebrija
- Universidad Politecnica de Cartagena
- 90 more »
- « less
-
Field
-
: research experience in skin biology, tissue repair, reparative medicine, epigenetics, or RNA biology experience in multi-omics integration, advanced statistics, machine learning, or biological data
-
Science Statistics / Biostatistics Applied Mathematics Data Science Demonstrated expertise in modern machine learning, including at least one of the following: Deep learning (e.g., transformers, sequence models
-
. Requirements: PhD completed less than 7 years ago in Computer Science or related areas; experience in machine learning and data science (supervised/unsupervised models, recommendation and evaluation/robustness
-
of atomic environments Detection of extrapolation and low-reference data regimes Active learning in configurational and chemical space Training and benchmarking of large-scale foundational MLFF models More
-
reports and grant proposals. You should possess a PhD or DPhil (or near completion of) in Machine Learning or Maths. Informal enquiries may be addressed to jakob@robots.ox.ac.uk For more information about
-
-performance computing resources suitable for large-scale machine-learning and foundation-model experiments. Your role We are seeking a highly motivated Postdoctoral Researcher to join the FNR AI-HPC 2025
-
modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
-
understanding and generation, media forensics, anomaly detection, multimodal learning with an emphasis on vision-language models, computer vision applications for space. Key responsabilities: Shape research
-
from different fields: AI (machine learning, big database, etc) Semiconductors
-
27 Mar 2026 Job Information Organisation/Company Télécom Paris Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions