Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- Argonne
- CNRS
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Munich
- Chalmers University of Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- University of Luxembourg
- National Aeronautics and Space Administration (NASA)
- Singapore-MIT Alliance for Research and Technology
- Aarhus University
- Cornell University
- University of Maryland, Baltimore
- Aalborg University
- Duke University
- Stony Brook University
- THE UNIVERSITY OF HONG KONG
- Technical University of Denmark
- University of North Carolina at Chapel Hill
- Bucharest Universty of Economic Studies
- Carnegie Mellon University
- Texas A&M University
- University of Liverpool
- University of London
- University of Sydney
- AALTO UNIVERSITY
- Brookhaven National Laboratory
- DURHAM UNIVERSITY
- Forschungszentrum Jülich
- The University of Arizona
- Umeå University
- University of Basel
- University of Liverpool;
- University of Oxford
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Baylor College of Medicine
- Brown University
- Durham University;
- Eindhoven University of Technology (TU/e)
- Fondazione Bruno Kessler
- George Washington University
- Harvard University
- Jönköping University
- Karlstad University
- Linköping University
- Luxembourg Institute of Science and Technology
- Princeton University
- Queen Mary University of London;
- SUNY Polytechnic Institute
- Texas A&M AgriLife
- The University of North Carolina at Chapel Hill
- UNIVERSITY OF SYDNEY
- Umeå universitet
- University College Dublin
- University of Central Florida
- University of Colorado
- University of Miami
- University of Minnesota
- University of Nebraska Medical Center
- University of Oslo
- University of Texas at Dallas
- University of Twente
- University of Washington
- ;
- Aalborg Universitet
- Argonne National Laboratory
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- Beijing Academy of Quantum Information Sciences
- Bilkent University
- Biobizkaia Health Research Institute
- Broad Institute of MIT and Harvard
- CEA Grenoble
- CEA-Saclay
- California Institute of Technology
- Consejo Superior de Investigaciones Científicas
- Constructor University Bremen gGmbH
- Dartmouth College
- Delft University of Technology (TU Delft)
- Deutsches Elektronen-Synchrotron DESY
- Durham University
- ELETTRA - SINCROTRONE TRIESTE S.C.P.A.
- ERATOSTHENES CENTRE OF EXCELLENCE
- Ecole Normale Supérieure de Lyon
- Episteme
- European Space Agency
- FAPESP - São Paulo Research Foundation
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- Fraunhofer-Gesellschaft
- Fred Hutchinson Cancer Center
- Fudan University
- Georgia Institute of Technology
- Heriot Watt University
- Heriot-Watt University;
- IFM/Linköping University
- IMT MINES ALES
- IMT Mines Ales
- Imperial College London
- Indiana University
- 90 more »
- « less
-
Field
-
energy recovery linac (ERL) demonstrator at IJCLab, Orsay. ERLs offer a promising way toward the development of future colliders, particularly by providing excellent beam quality while drastically reducing
-
(E13 TV-L, 100%, starting 1 April 2026 or as agreed) 22.12.2025, Academic staff The Professorship “Algorithmic Governance and Public Policy” (Prof. Daria Gritsenko), invites applications for a
-
, understand the design and development decisions that propagate social biases, and develop theoretical and algorithmic approaches to mitigate them. Key responsibilities include developing bias detection tools
-
.) ● Demonstrated experience in method and tool development (e.g., new algorithms, tools, or computational frameworks) ● Evidence of interdisciplinary research, bridging computational and biological domains
-
: • AI for Quantum: We develop advanced, physically grounded AI algorithms to solve fundamental problems in quantum materials, quantum error correction, and quantum simulations. • Quantum for AI: We
-
structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under budget and time constraints, facilitating flexible adoption
-
interests. Responsibilities Research will focus on development and application of methods, algorithms and tools for biostatistics and computational biology. A primary goal will be integration of single-cell
-
, transfer learning, federated learning, data integration, algorithmic fairness, survival analysis, and methods for heterogeneous and multi-source data. Training Environment and Career Development
-
develop computational methods to interpret complex data. In addition to research responsibilities, the postdoctoral researcher will actively engage in group meetings, journal clubs, and departmental
-
. The ideal candidate will have: Experience in developing novel algorithms. Experience in coding in python and preferably C/C++. Experience in frontend engineering, including but not limited