230 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Germany
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- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
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- University of Potsdam, Faculty of Science
- Brandenburgische Technische Universität Cottbus
- Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf
- Deutsches Elektronen-Synchrotron DESY •
- Deutsches Zentrum für Neurodegenerative Erkrankungen
- EUMETSAT - European Organisation for the Exploitation of Meteorological Satellites
- Fraunhofer-Gesellschaft
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- Heinrich-Heine-Universität Düsseldorf
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- Hertie School •
- Max Planck Institute for Biogeochemistry, Jena
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- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Physics of Complex Systems
- Max Planck Institute for the Study of Societies •
- RPTU University Kaiserslautern-Landau •
- Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
- Saarland University
- Saarland University •
- Technische Universität Berlin
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- Universitaet Muenster
- University Medical Center of the Johannes Gutenberg University Mainz
- University of Bamberg •
- University of Cologne
- University of Hamburg •
- University of Konstanz
- University of Potsdam •
- University of Würzburg
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), the sorption of PFAS and heavy metals onto natural nanoparticles will be investigated in situ using a dedicated field exposure method developed by our team, complemented by laboratory experiments and machine
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
deep learning (x/f/d/m) Background With the project Deepcloud, we will leverage the machine-learning revolution to understand clouds and their role in the climate system. We aim to train a deep learning
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strong AI focus; a PhD is desirable, but not mandatory Advanced knowledge of machine learning, statistical modeling, and modern AI methodologies Strong programming skills, preferably in Python and common
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Faculty of Life Sciences - Department of Biology Research fellow (m/f/d) in the field of Machine learning and Biomedicine with expected full-time employment - E 13 TV-L HU (third-party funding limited until
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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Assistant Professor of Machine Learning in Digital Health (salary group W1
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11.12.2025 Application deadline: 15.02.2026 The Faculty of Science at Tübingen University invites applications for a W3-Professorship in Machine Learning in Physics at the Department of Physics (m/f
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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machine learning (ML) along with data from previously solved problem instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In
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tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in the form of graphs to analyze and predict food-effector systems. Key
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Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use machine learning (ML) along with data from previously solved problem