Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Miami
- Duke University
- Stanford University
- University of North Carolina at Chapel Hill
- Brookhaven National Laboratory
- Cornell University
- Delft University of Technology (TU Delft)
- Loyola University
- NEW YORK UNIVERSITY ABU DHABI
- Rutgers University
- University of Minnesota
- University of Sydney
- Argonne
- EPFL
- New York University
- Technical University of Munich
- University of Florida
- University of Oxford
- University of Texas at Arlington
- University of Washington
- Lawrence Berkeley National Laboratory
- National Energy Technology Laboratory (NETL)
- Oak Ridge National Laboratory
- Queen Mary University of London
- SciLifeLab
- Texas A&M University
- The Ohio State University
- University of California, Los Angeles
- Yale University
- Aalborg University
- Baylor College of Medicine
- Baylor College of Medicine (BCM)
- Carnegie Mellon University
- Durham University
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Inria, the French national research institute for the digital sciences
- KTH Royal Institute of Technology
- Queen Mary University of London;
- SUNY University at Buffalo
- THE UNIVERSITY OF HONG KONG
- Texas A&M AgriLife
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- University College Cork
- University of Denver
- University of Manchester
- University of Maryland, Baltimore
- University of North Texas at Dallas
- University of Oregon
- Utrecht University
- Wageningen University & Research
- CNRS
- Computer Vision Center
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Fundació per a la Universitat Oberta de Catalunya
- Heidelberg University
- Helmholtz Association of German Research Centres
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- ICN2
- INSERM
- Indiana University
- Institut Pasteur
- Itä-Suomen yliopisto
- KU LEUVEN
- Karolinska Institutet (KI)
- King's College London
- LIGO Laboratory
- Leiden University
- Lulea University of Technology
- Luleå University of Technology
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- McGill University
- Michigan State University
- Mohamed bin Zayed University of Artificial Intelligence
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Norwegian University of Life Sciences (NMBU)
- Pennsylvania State University
- Rochester Institute of Technology
- Saint Louis University
- Singapore-MIT Alliance for Research and Technology
- The University of Arizona
- The University of Iowa
- Télécom Paris
- Umeå University
- Universiteit Leiden
- University of Amsterdam (UvA)
- University of California
- University of California Irvine
- University of Colorado
- University of Connecticut
- University of Groningen
- University of Kansas Medical Center
- University of London
- University of Lund
- 90 more »
- « less
-
Field
-
breeding program. This requires a Ph.D. with excellent knowledge and skills in drones / UAV / UAS data collection, processing, statistical analyses, AI (machine learning, deep learning) and subsequent
-
National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 15 days ago
the computational work. Researchers in the group have experience with crystal plasticity using finite element and fast Fourier transform methods, fatigue indicator parameters, process modeling and machine learning
-
, or a related STEM field. Experience with EHR data, machine learning or deep learning, natural language processing, medical imaging, or large language models (LLMs) is highly desirable. Familiarity with
-
. Sparse sensing, optimization, or Bayesian experimental design. Machine learning for imaging. Synchrotron experiment experience. Semiconductor devices or metrology. We offer We offer a fully funded
-
. Experience applying computer vision, image analysis, and/or machine-learning methods to microscopy or materials characterization data. Demonstrated ability to analyze microstructural data and relate
-
statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
-
As a postdoctoral researcher, your primary responsibilities will be: Develop machine learning and deep learning models, with a strong focus on computer vision, for the characterisation and
-
(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
-
field. • Experience conducting medical imaging research. • Experience developing artificial intelligence and machine learning approaches for research. • Strong command of statistical methods and their
-
clinical or imaging-based research. Familiarity with vascular imaging software, image post-processing, and AI/machine learning applications in clinical or imaging research is desirable. Demonstrates strong