Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- Leibniz
- DAAD
- Forschungszentrum Jülich
- Humboldt-Stiftung Foundation
- Hannover Medical School •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Universität Hamburg •
- ; University of Cambridge
- Deutsches Elektronen-Synchrotron DESY •
- Dresden University of Technology •
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Geesthacht
- Karlsruhe Institute of Technology •
- Leibniz Institute for Neurobiology
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Brain Research, Frankfurt am Main
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute for Sustainable Materials •
- TU Dresden
- Technische Universität Berlin •
- University of Greifswald
- University of Münster •
- University of Stuttgart •
- University of Tübingen •
- 20 more »
- « less
-
Field
-
/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
-
output of the neutral atmosphere dynamics and chemistry of UA-ICON. A requirement will be to install TIE- GCM at the supercomputer of the German Climate Computing Centre, where UA-ICON is running
-
Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Freiberg, Sachsen | Germany | 2 days ago
Germany Application Deadline 17 Sep 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Other Offer Starting Date 15 Oct 2025 Is the job funded through the EU Research Framework Programme? Not
-
engineering, computer science or a comparable subject You have good experience in Python You have basic knowledge of the theory and methods in machine learning Good language skills in German and/or English What
-
-performance computing and imaging facilities. a collegial, international atmosphere and flexible, family-friendly working hours a structured PhD programme with extensive training and career-development
-
. Responsibilities: Design and implement research experiments Data collection, including sound mineral processing, imaging techniques, X-ray diffractometry, thermal analysis and mass spectrometry, as
-
: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science
-
members in one of Europe’s largest interdisciplinary research centers and help us to shape change! The Faculty of Agricultural, Nutritional and Engineering Sciences of the Rheinische Friedrich-Wilhelms
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
-
the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission