Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Sweden
- Netherlands
- United Arab Emirates
- Denmark
- Germany
- Spain
- Morocco
- Switzerland
- Belgium
- Finland
- Luxembourg
- Australia
- Norway
- Hong Kong
- Ireland
- Brazil
- Canada
- Italy
- Japan
- Poland
- Saudi Arabia
- Austria
- Cyprus
- Czech
- China
- Greece
- Israel
- Mexico
- New Zealand
- Portugal
- Romania
- Slovenia
- South Africa
- Taiwan
- 27 more »
- « less
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- CNRS
- Oak Ridge National Laboratory
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Oxford
- Argonne
- University of North Carolina at Chapel Hill
- Texas A&M University
- AALTO UNIVERSITY
- Carnegie Mellon University
- University of Miami
- University of Washington
- Aalborg University
- Rutgers University
- Cornell University
- KINGS COLLEGE LONDON
- Virginia Tech
- Duke University
- Stanford University
- Stony Brook University
- Technical University of Munich
- Princeton University
- University of Luxembourg
- University of South Carolina
- KTH Royal Institute of Technology
- New York University
- The University of Arizona
- ETH Zürich
- Massachusetts Institute of Technology
- Technical University of Denmark
- University of Kentucky
- University of Oxford;
- Brookhaven National Laboratory
- Forschungszentrum Jülich
- Inria, the French national research institute for the digital sciences
- King's College London
- University of Minnesota
- Baylor College of Medicine
- Chalmers University of Technology
- European Space Agency
- Loyola University
- THE UNIVERSITY OF HONG KONG
- Texas A&M AgriLife
- University of Amsterdam (UvA)
- University of Florida
- University of Oslo
- University of Texas at Arlington
- University of Texas at Dallas
- Vanderbilt University
- Villanova University
- Boise State University
- Chalmers tekniska högskola
- Empa
- ICN2
- King Abdullah University of Science and Technology
- Lehigh University
- Lunds universitet
- McGill University
- Medical College of Wisconsin
- Purdue University
- Umeå universitet stipendiemodul
- University of California Berkeley
- University of Maine
- ;
- Argonne National Laboratory
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Durham University
- Eindhoven University of Technology (TU/e)
- Emory University
- FAPESP - São Paulo Research Foundation
- Free University of Berlin
- Ghent University
- Karolinska Institutet (KI)
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Pennsylvania State University
- Radboud University
- SUNY Polytechnic Institute
- The Ohio State University
- The University of North Carolina at Chapel Hill
- Umeå University
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Cambridge;
- University of Connecticut
- University of Idaho
- University of Kansas
- University of Lund
- University of Nevada, Reno
- University of Oregon
- University of Texas at Austin
- University of Virginia
- Washington University in St. Louis
- Aarhus University
- Angelo State University
- CIC energiGUNE
- Computer Vision Center
- DePaul University
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- 90 more »
- « less
-
Field
-
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
-
frameworks for quantum machine learning, including conformal quantum prediction and uncertainty quantification in quantum models; Theoretical and algorithmic advances rooted in statistical learning theory
-
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
-
dynamical systems), epidemiological modelling, data analysis (statistics, machine learning). • in scientific programming (preferably Python, Matlab, R) Genuine interest in the analysis and modeling
-
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
-
working on diverse scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) development of novel machine learning models and
-
partnership between academia and industry to drive research and development forward. Project description This project aims to develop unsupervised machine learning methods for extracting dynamical models
-
allow users to input CDR forcing (e.g., alkalinity addition) and produce day-by-day forecasts of CO2 uptake and storage durability. The project combines physics-based modeling, machine learning, and high
-
State University and work closely with I-CREWS researchers across the state. The position emphasizes developing, integrating, and applying modeling approaches-including machine learning (ML), hydrologic