Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Technical University of Munich
- Fraunhofer-Gesellschaft
- Forschungszentrum Jülich
- Nature Careers
- DAAD
- Heidelberg University
- Leibniz
- Helmholtz-Zentrum Geesthacht
- DWI Leibniz-Institut für Interaktive Materialien e.V.
- Deutsches Elektronen-Synchrotron DESY •
- Free University of Berlin
- GFZ Helmholtz-Zentrum für Geoforschung
- Hannover Medical School •
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- Helmholtz-Zentrum Hereon
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute of Biochemistry, Martinsried
- Technische Hochschule Köln
- Technische Universität Berlin •
- Universität Hamburg •
- apoQlar
- 13 more »
- « less
-
Field
-
interdisciplinary team of engineers, computer scientists, and life scientists Present your work at international conferences and learn about state-of-the-art methods in machine learning, reinforcement learning and
-
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 details of the process are not yet fully understood. Mechanistic learning, the combination of mathematical mechanistic modelling and machine learning, enables a data-driven investigation of the processes
-
, computer vision and image processing Responsible independent worker Proficient English skills The working time consists of 10-20 hours per week. The position is initially limited to three months
-
well as the management of highly complex multimodal data. This role will focus on providing, developing, evaluating, and productizing computer vision methods for the analysis of video and imaging data that are generated
-
engineering, or a related field Strong expertise in computer vision with a focus on modern 3D reconstruction techniques Extensive experience with PyTorch: confident training of machine learning models on single
-
data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
-
and other multimodal datasets Design and fine-tune machine learning and deep learning models to extract meaningful patterns and predict metastatic behavior Collaborate closely with experimentalists
-
advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
-
further both professionally and personally in an interdisciplinary setting. Position DWI is looking to fill the position as soon as possible: Research Scientist Machine Learning Engineer - AI-Powered Image