Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- UNIVERSITY OF VIENNA
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Stanford University
- Argonne
- University of Minnesota
- Wayne State University
- Chalmers University of Technology
- Cornell University
- Delft University of Technology (TU Delft)
- Macquarie University
- Oak Ridge National Laboratory
- Pennsylvania State University
- University of North Carolina at Chapel Hill
- CNRS
- Carnegie Mellon University
- EPFL
- Harvard University
- Helmholtz Association of German Research Centres
- NEW YORK UNIVERSITY ABU DHABI
- THE UNIVERSITY OF HONG KONG
- University of Florida
- University of Oxford
- University of Washington
- Aarhus University
- Duke University
- New York University
- Northeastern University
- Singapore-MIT Alliance for Research and Technology
- Technical University of Munich
- University of Miami
- Utrecht University
- Yale University
- Aalborg University
- Baylor College of Medicine
- FAPESP - São Paulo Research Foundation
- Institut Pasteur
- KTH Royal Institute of Technology
- National Energy Technology Laboratory (NETL)
- SciLifeLab
- Stony Brook University
- Texas A&M University
- The Ohio State University
- The University of Iowa
- University College Cork
- University of Vienna
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Baylor University
- ETH Zürich
- Empa
- European Space Agency
- Forschungszentrum Jülich
- ICN2
- Inria, the French national research institute for the digital sciences
- Istituto Italiano di Tecnologia
- Maastricht University (UM)
- Massachusetts Institute of Technology
- Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS)
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Queen Mary University of London;
- U.S. Department of Energy (DOE)
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF HELSINKI
- University of California
- University of London
- University of Lund
- University of Texas at Arlington
- University of Turku
- Virginia Tech
- Vrije Universiteit Brussel
- ;
- 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)
- Beijing Academy of Quantum Information Sciences
- CEA
- Computer Vision Center
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
- ESSEC Business School
- Fundació per a la Universitat Oberta de Catalunya
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Human Technopole
- INSERM
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- IRCM - Cancer Research Institute of Montpellier
- Imperial College London
- Indiana University
- Institute of Marine Research
- KU LEUVEN
- King Abdullah University of Science and Technology
- King's College London
- Lancaster University
- Le Mans Université
- Lehigh University
- Lunds universitet
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- Max-Delbrück-Centrum für Molekulare Medizin
- Michigan State University
- 90 more »
- « less
-
Field
-
-facing web GIS dashboard. Investigate the forest, landscape, and climate conditions that drive storm susceptibility, using major windstorms as natural experiments and interpretable machine-/deep-learning
-
on developing deep learning methods for the reconstruction and physical analysis of ATLAS experiment data. The selected candidate will develop innovative analysis methods for the reconstruction and physical
-
strong background in image processing and analysis, including deep learning experience with correlative imaging workflows and 2D/3D registration techniques strong programming skills in Python and/or C/C
-
future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
-
team is a collaborative and innovative group that includes staff with deep expertise in bioinformatics, statistics, and ornithology. The candidate will also have the opportunity to work closely with
-
research career. Research and technical training Training will include hands-on work in the following areas: Developing and validating deep-learning and machine-learning models using echocardiography
-
to industry and developments with Deep Learning (DL), Computer Vision (CV), Transformers, Large Language Models (LLMs), Natural Language Processing (NLP). Mandatory requirements • Bachelor's degree
-
deep learning approaches, with a particular interest in developing methods capable of handling scarce or corrupted data, designing methods for specific imaging modalities, or understanding and
-
analysis. ● Prior work on kinase or other signaling-protein conformational dynamics, phosphorylation-driven activation, or allosteric regulation. ● Familiarity with machine learning and deep learning
-
that leverage state-of-the-art AI methods (deep learning, generative AI, Bayesian modelling, active learning, etc.) to combine cellular imaging data, chemical compound structure, viral genomes and other omics