Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Technical University of Munich
- Nature Careers
- Chalmers University of Technology
- ;
- Durham University
- University of Cambridge
- University of Minnesota
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- KINGS COLLEGE LONDON
- Pennsylvania State University
- Technical University of Denmark
- University of Luxembourg
- University of Oxford
- University of Twente
- Central China Normal University
- ETH Zurich
- Forschungszentrum Jülich
- Ghent University
- Heriot Watt University
- Indiana University
- King's College London
- Lulea University of Technology
- New York University
- Radboud University
- SUNY University at Buffalo
- SciLifeLab
- Stanford University
- Umeå University
- University of British Columbia
- University of Groningen
- University of Houston Central Campus
- University of Notre Dame
- University of Southern California
- University of Southern Denmark
- University of Virginia
- University of Washington
- VIB
- Virginia Tech
- Washington University in St. Louis
- Yale University
- 32 more »
- « less
-
Field
-
FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
Job description We are seeking two highly motivated postdoctoral researchers to join our research team based in the Van de Peer lab, under the supervision of Prof. Dr. Zhen Li, Assistant Professor
-
, Bioimaging Sciences Position Description: Join an exciting effort to develop a low-field, low-cost, MRI scanner for screening mammography. You will participate in the development of MRI reconstruction
-
dynamics, solid mechanics, soft matter or active matter. • To become familiar with simulation algorithms as needed, assist in the development of new ones, test and document any newly developed
-
research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but
-
. The overall aim of this project is to address these challenges by: Developing new data-driven and physics-based models of battery behaviour. Designing advanced BMS algorithms for real-time monitoring and
-
motivated Post-Doctoral Associate to join our team with a strong background in robot control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance
-
. This role will involve the development of novel lattice QCD algorithms and high-performance computing (HPC) codes, and/or exploring applications of artificial intelligence (AI) to lattice simulations
-
techniques for integrating such solutions into modern SDV middleware. Responsibilities: Conduct research in runtime analysis and reconfiguration of in-vehicle TSN networks. Develop algorithms and prototypes
-
the research project and the division of Astronomy and Plasma Physics The successful candidate will work on developing and testing algorithms for 3D magnetic field reconstruction. The position will
-
generation data-driven stochastic and distributionally robust optimization methodologies or (ii) develop advanced fairness promoting stochastic optimization frameworks. In coordination with Prof. Shehadeh