Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Stanford University
- UNIVERSITY OF VIENNA
- University of North Carolina at Chapel Hill
- EPFL
- CNRS
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- KTH Royal Institute of Technology
- SciLifeLab
- University of Washington
- Aalborg University
- Aarhus University
- Baylor University
- European Space Agency
- Maastricht University (UM)
- Northeastern University
- University of Vienna
- Utrecht University
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Yale University
- AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
- Aarhus University (AU)
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Austrian Academy of Sciences, The Marietta Blau Instiute (MBI)
- Carnegie Mellon University
- Computer Vision Center
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
- ESSEC Business School
- Fundació per a la Universitat Oberta de Catalunya
- Heidelberg University
- INSERM
- Indiana University
- Institut Pasteur
- Istituto Italiano di Tecnologia
- New York University
- Poznan University of Technology
- Radboud University Medical Center (Radboudumc)
- Research Center for Molecular Medicine (CeMM), ÖAW
- Saarland University
- Technical University of Munich
- The Ohio State University
- The University of Iowa
- Tsinghua University
- UNIVERSIDAD POLITECNICA DE MADRID
- Umeå University
- University College Cork
- University of California Berkeley
- University of California Irvine
- University of Colorado
- University of Florida
- University of Liège
- University of Massachusetts Chan Medical School
- University of Minnesota
- University of Nevada Las Vegas
- University of Southern Denmark (SDU)
- Washington University in St. Louis
- Westlake University
- universitypositions
- 48 more »
- « less
-
Field
-
missions operated by LATMOS. The postdoc will employ deep learning approaches using satellite data and ground stations. -Understanding the infrared data from the IASI mission and identifying the channels
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Demonstrated research experience in machine learning, deep learning, medical image analysis, computer vision, biomedical data science, or a closely related area. Strong programming skills in Python and
-
learning and physics, addressing key challenges in modern quantitative biology. The successful candidate will be responsible for: • Develop and train deep learning models (CNNs, ...) data to predict IPLSs
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
, Competencies, and Experience Strong research background in computer vision and multimodal machine learning. Experience with deep learning and multimodal/vision-language models. Strong programming and research
-
as a member of the GHER contributing to the EU research project COMEDI in a consortium of 11 leading partners in the field of data assimilation and deep learning. A successful applicant will develop
-
analyses. The postdoc will be hosted at TDB, co-supervised by both groups, and will work at the interface of scientific computing, machine learning and particle physics. Project description Searches for dark
-
. Documented research experience in modern deep learning (e.g. generative models, Bayesian deep learning or large pre-trained models) and excellent programming skills in Python and a modern deep learning
-
-of-the-art bioinformatics approaches, increasingly incorporating AI and deep learning (see, e.g., Sarropoulos et al., Science 2026). This work has provided insights into the origins and functional evolution
-
intelligence, data science, medical physics, neuroimaging, bioengineering, or related disciplines, accompanied by accredited training in machine learning, deep learning, or medical image analysis. Experience: A
-
than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in ML-Based Co-Design at EPFL Mission The EPFL computer vision lab (https://www.epfl.ch