Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- Technical University of Munich
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Oxford
- Technical University of Denmark
- Stanford University
- ;
- Oak Ridge National Laboratory
- University of Groningen
- University of North Carolina at Chapel Hill
- European Space Agency
- NEW YORK UNIVERSITY ABU DHABI
- Texas A&M University
- Brookhaven Lab
- University of Maryland, Baltimore
- University of Twente
- University of Washington
- AALTO UNIVERSITY
- Durham University
- Pennsylvania State University
- Stony Brook University
- The Ohio State University
- The University of Arizona
- University of Houston Central Campus
- Chalmers University of Technology
- DePaul University
- Forschungszentrum Jülich
- Heriot Watt University
- Imperial College London
- KINGS COLLEGE LONDON
- Leibniz
- University of Central Florida
- University of Lund
- Baylor College of Medicine
- DURHAM UNIVERSITY
- Indiana University
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- New York University
- Northeastern University
- SUNY University at Buffalo
- SciLifeLab
- UNIVERSITY OF HELSINKI
- Umeå University
- University of Bergen
- University of California, Merced
- University of Cambridge
- University of Luxembourg
- University of Minnesota
- University of North Texas at Dallas
- University of Oklahoma
- University of Southern California
- University of Southern Denmark
- University of Texas at Arlington
- University of Virginia
- VIB
- Virginia Tech
- Vrije Universiteit Brussel
- Washington University in St. Louis
- Yale University
- ; University of Copenhagen
- ; University of Oxford
- Aarhus University
- Broad Institute of MIT and Harvard
- CWI
- California Institute of Technology
- Canadian Association for Neuroscience
- Central China Normal University
- Centre for Genomic Regulation
- City University London
- Cornell University
- Duke University
- Embry-Riddle Aeronautical University
- Fred Hutchinson Cancer Center
- Fudan University
- Ghent University
- Harvard University
- ICN2
- IMT
- King's College London
- Lawrence Berkeley National Laboratory
- Leiden University
- Linköping University
- Los Alamos National Laboratory
- Lulea University of Technology
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- McGill University
- Michigan Technological University
- Ohio University
- Okinawa Institute of Science and Technology Graduate University
- Purdue University
- Radboud University
- Swansea University
- THE UNIVERSITY OF HONG KONG
- Texas A&M AgriLife
- Texas A&m Engineering
- University College Cork
- University of British Columbia
- University of California
- 90 more »
- « less
-
Field
-
, working on the development of advanced AI/ML algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be on creating and optimizing state
-
process modelling, experimental data, model parameters and modelling approaches in order to optimize design, analysis and operation of complete capture processes. The goal of the project is to develop
-
will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
-
using jets and heavy-flavor probes. The candidate will also participate in algorithm and software development for the LHCb trigger system as part of the Real Time Analysis Project. A Ph.D. in experimental
-
project team on “Participatory Algorithmic Justice: A multi-sited ethnography to advance algorithmic justice through participatory design” (PARTIALJUSTICE) to examine issues of justice and participation in
-
to work on meaningful projects with direct clinical relevance. About the role In this role, you will develop and implement computer vision and deep learning algorithms to analyse CT and MRI data from
-
FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
adaptation, speciation, and biological innovations. This project aims to redefine our understanding of gene loss alongside gene gain in plant evolution, focusing on developing novel genomic approaches
-
researcher to join the Turing AI World-Leading Fellowship research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in
-
/Machine Learning (AI-ML) approaches to meeting this challenge. Possible topics include, but are not limited to: storylines for plausible narratives of regional climate change, novel algorithms for rare
-
for plausible narratives of regional climate change, novel algorithms for rare event sampling or ensemble boosting, and the development and use of hybrid climate models combining physics-based and ML components