Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Stanford University
- University of North Carolina at Chapel Hill
- Delft University of Technology (TU Delft)
- Cornell University
- EPFL
- National Energy Technology Laboratory (NETL)
- Utrecht University
- Aalborg University
- Chalmers University of Technology
- Duke University
- Eindhoven University of Technology (TU/e)
- Oak Ridge National Laboratory
- University of Washington
- Yale University
- Aarhus University
- KTH Royal Institute of Technology
- SciLifeLab
- Technical University of Munich
- University of Minnesota
- CNRS
- University of South Carolina
- University of Twente (UT)
- Carnegie Mellon University
- Helmholtz Association of German Research Centres
- Human Technopole
- Princeton University
- UNIVERSITY OF VIENNA
- University of Amsterdam (UvA)
- University of Miami
- Boise State University
- Empa
- King's College London
- Loyola University
- McGill University
- Northeastern University
- Pennsylvania State University
- Purdue University
- University of California
- University of Groningen
- University of Nevada Las Vegas
- Wageningen University & Research
- Washington State University
- AALTO UNIVERSITY
- Argonne
- Baylor University
- Computer Vision Center
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Harvard University
- Institut Pasteur
- King Abdullah University of Science and Technology
- Leiden University
- Maastricht University (UM)
- Massachusetts Institute of Technology
- New York University
- Texas A&M University
- The Ohio State University
- University College Cork
- University of California Irvine
- University of Copenhagen
- University of Luxembourg
- University of North Carolina Wilmington
- University of Texas at Arlington
- University of Texas at Dallas
- University of Twente
- Université de Caen Normandie
- VIB
- Vrije Universiteit Brussel
- Washington University in St. Louis
- Aalborg Universitet
- Adam Mickiewicz University, Poznań
- Austrian Academy of Sciences, The Marietta Blau Instiute (MBI)
- Baylor College of Medicine
- Broad Institute of MIT and Harvard
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Center for Systems Biology Dresden (CSBD)
- Central European University
- Copenhagen Business School
- DI ENS
- Deutsches Elektronen-Synchrotron DESY
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
- ELLIS Institute Finland
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Fundació per a la Universitat Oberta de Catalunya
- George Washington University
- Georgetown University
- Great Bay University
- HITS gGmbH
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Högskolan i Skövde
- ICN2
- INSERM
- INSERM DR Paris 5
- Indiana University
- Inria, the French national research institute for the digital sciences
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- Institute of Physical Chemistry, Polish Academy of Sciences
- 90 more »
- « less
-
Field
-
packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
-
infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable use of clinical data for AI and machine learning applications in complex diseases such as Cancer, Alzheimer's
-
measurement techniques and PIV. Familiarity with optics, lasers, image processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude
-
-edge machine learning methods with empirical insights from the educational arm of the project. A central technical challenge guides this position: How can an LLM-based AI social agent be designed, fine
-
for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
-
National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 hour ago
migration in porous media under in situ conditions, and • Machine learning application to gas hydrate system to develop efficient key parameter estimation tools and large-scale 3D geologic model for gas
-
at the interface of automatic control, electrochemistry, and machine learning. The position will also involve close collaboration with another postdoctoral researcher working on a complementary project in physics
-
(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
-
partner who focuses on the underlying machine learning models, and you will help coordinate the joint work across the two teams. The position offers a strong publication trajectory at leading HCI venues
-
for the analysis and integration of –omics data. The group has a strong track record in (integrative) computational omics analysis, algorithm development, machine learning and scientific data infrastructure