Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Netherlands
- Sweden
- United Arab Emirates
- Denmark
- Germany
- Morocco
- Spain
- Switzerland
- Finland
- Luxembourg
- Belgium
- Australia
- Norway
- Hong Kong
- Ireland
- Brazil
- Canada
- Saudi Arabia
- Austria
- Italy
- Japan
- Poland
- Cyprus
- Czech
- China
- Greece
- Israel
- Mexico
- New Zealand
- Portugal
- Romania
- Slovenia
- South Africa
- Taiwan
- 27 more »
- « less
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- CNRS
- Nature Careers
- Oak Ridge National Laboratory
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Argonne
- University of Oxford
- University of North Carolina at Chapel Hill
- University of Miami
- Texas A&M University
- AALTO UNIVERSITY
- Carnegie Mellon University
- University of Washington
- Aalborg University
- Rutgers University
- Cornell University
- Duke University
- Virginia Tech
- Stanford University
- University of South Carolina
- KINGS COLLEGE LONDON
- New York University
- Princeton University
- Stony Brook University
- Technical University of Munich
- University of Luxembourg
- ETH Zürich
- Technical University of Denmark
- The University of Arizona
- KTH Royal Institute of Technology
- Massachusetts Institute of Technology
- University of Florida
- University of Kentucky
- University of Oxford;
- Brookhaven National Laboratory
- Inria, the French national research institute for the digital sciences
- National Aeronautics and Space Administration (NASA)
- University of Minnesota
- Chalmers University of Technology
- European Space Agency
- Forschungszentrum Jülich
- King's College London
- Loyola University
- THE UNIVERSITY OF HONG KONG
- University of Amsterdam (UvA)
- University of Oslo
- University of Texas at Arlington
- University of Texas at Dallas
- Villanova University
- Baylor College of Medicine
- Chalmers tekniska högskola
- Empa
- Karolinska Institutet (KI)
- King Abdullah University of Science and Technology
- Lehigh University
- Lunds universitet
- McGill University
- Medical College of Wisconsin
- Purdue University
- Texas A&M AgriLife
- University of California Berkeley
- University of Idaho
- University of Maine
- University of Sydney
- Argonne National Laboratory
- Boise State University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Emory University
- FAPESP - São Paulo Research Foundation
- Free University of Berlin
- Ghent University
- ICN2
- Northeastern University
- SUNY Polytechnic Institute
- Texas A&M AgriLife Extension
- The Ohio State University
- The University of North Carolina at Chapel Hill
- Umeå University
- Umeå universitet stipendiemodul
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Cambridge;
- University of Connecticut
- University of Kansas
- University of Lund
- University of Nevada, Reno
- University of Oregon
- University of Texas at Austin
- University of Twente
- University of Virginia
- Washington University in St. Louis
- ;
- Aarhus University
- Angelo State University
- CIC energiGUNE
- Computer Vision Center
- DePaul University
- Durham University
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- 90 more »
- « less
-
Field
-
Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling, machine-learning model development, structural sensing and health monitoring, conducting physical
-
supporting better patient outcomes. The successful candidate will lead the development of multi-modal MRI foundation models that integrate imaging data and radiology reports. Using advanced deep learning
-
: Develop and implement machine learning algorithms for SOC and SOH estimation. Analyze large datasets from battery systems to improve model accuracy and performance. Conduct research on predictive analytics
-
collaborative manufacturing and the circular economy. You should possess a Ph.D. in machine learning, robotics or a closely related field with a focus on compositional world models. Further, essential are a
-
to work within one of, or across, the four research themes: Learning with Structured & Geometric Models, Low Effective-dimensional Learning Models, Implicit Regularization, and Reinforcement Learning
-
Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field Excellent
-
at conferences, and stakeholder engagement sessions. Required Qualifications: A Ph.D. in Climate Science, Hydrology, Environmental Science, or a related field. Experience in machine learning or AI applications in
-
dynamical systems), epidemiological modelling, data analysis (statistics, machine learning). • in scientific programming (preferably Python, Matlab, R) Genuine interest in the analysis and modeling
-
Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image
-
and have synergiccollaborationeffects. Weexpect a motivatedearlycareer researcher with stronginterest and experience with GIS/earth observation/climateprojection data as well as machine learning models