Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Rutgers University
- Nature Careers
- Carnegie Mellon University
- University of Miami
- University of North Carolina at Chapel Hill
- Loyola University
- Cornell University
- Princeton University
- University of Oxford
- Argonne
- Northeastern University
- CNRS
- University of South Carolina
- Oak Ridge National Laboratory
- University of Kentucky
- ETH Zürich
- Virginia Tech
- Brookhaven National Laboratory
- Chalmers University of Technology
- Stanford University
- University of Oslo
- Duke University
- University of Nevada, Reno
- University of Texas at Arlington
- Aalborg University
- Texas A&M University
- University of Oxford;
- Aarhus University
- KTH Royal Institute of Technology
- Karolinska Institutet (KI)
- SUNY Polytechnic Institute
- Kennesaw State University
- Technical University of Denmark
- Technical University of Munich
- University of Texas at Dallas
- Boise State University
- Durham University
- ICN2
- KINGS COLLEGE LONDON
- King's College London
- Lunds universitet
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stony Brook University
- The Ohio State University
- The University of Arizona
- U.S. Department of Energy (DOE)
- Umeå University
- University of Colorado
- University of Maryland, Baltimore
- University of Minnesota
- University of New Hampshire – Main Campus
- University of Southern Denmark
- Zintellect
- Baylor College of Medicine
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- Indiana University
- Inria, the French national research institute for the digital sciences
- Lawrence Berkeley National Laboratory
- Pennsylvania State University
- SciLifeLab
- University College Cork
- University of Basel
- University of Luxembourg
- University of Sydney
- University of Utah
- University of Washington
- Uppsala universitet
- VIB
- ;
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Angelo State University
- Binghamton University
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Istituto Italiano di Tecnologia
- Itä-Suomen yliopisto
- KTH
- Linköping University
- Luxembourg Institute of Science and Technology
- McGill University
- Purdue University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Singapore-MIT Alliance for Research and Technology
- Texas A&M AgriLife
- Texas A&m Engineering
- The University of Iowa
- Télécom Paris
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF VIENNA
- Umeå universitet stipendiemodul
- University of Amsterdam (UvA)
- University of California, Los Angeles
- University of Cambridge;
- University of Copenhagen
- University of Lund
- University of Massachusetts
- University of Nevada Las Vegas
- 90 more »
- « less
-
Field
-
quality modelling, with focus on Knowledge-Guided Machine Learning. The position is a rewarding opportunity to be integrated in an excellent freshwater group. The department’s research and advisory
-
Postdoctoral Researcher Position in Ecological Knowledge-Guided Machine Learning at Aarhus Univer...
quality modelling, with focus on Knowledge-Guided Machine Learning. The position is a rewarding opportunity to be integrated in an excellent freshwater group. The department’s research and advisory
-
, France [map ] Subject Area: Machine Learning / Machine Learning Appl Deadline: 2025/12/13 04:59 AM UnitedKingdomTime** (posted 2025/10/21 05:00 AM UnitedKingdomTime, listed until 2026/04/22 04:59 AM
-
predictive machine-learning models from heterogeneous data. DSIP is actively collaborating with industrial partners and research organizations. DSIP is involved in developing Deep Learning solutions for time
-
in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
-
candidate who is passionate about advancing scientific knowledge at the intersection of machine learning and genomic perturbation modelling. The ideal applicant brings not only strong technical skills, but
-
. About You You will have, or be close to completion of a PhD/DPhil in Statistics, Machine Learning, Data Science, or a related quantitative discipline. You will demonstrate strong specialist knowledge in
-
electrophysiology data obtained through collaborations and perform cross-species comparisons. We use machine learning techniques for neural data analysis and computational modelling with a special interest in
-
Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a
-
interdisciplinary teams. Preferred Knowledge, Skills, and Abilities: Experience scaling machine learning training and/or inference on multi-node HPC systems. History of implementing, adapting, or optimizing machine