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Postdoc (f/m/d): Machine Learning for Materials Modeling / Completed university studies (PhD) in ...
findings at academic venues and publish research in peer-reviewed journals Your profile # Completed university studies (PhD) in the field of Physics, Computer science, Materials science, Chemistry, or a
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people and nature. We are looking for an internationally recognized scientist (m/f/d) in the field of computer or natural sciences to develop modern technologies for collection-based research with a focus
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Work group: Institute of Coastal System Analysis and Modeling Area of research: Scientific / postdoctoral posts Starting date: 21.05.2025 Job description: Postdoc position in the field ofclimate
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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or Postdoc Position in Numerical Mathematics m/f/d, 100%, 2 years+ As part of the second phase of the DFG funded Priority Programme SPP2311, the Chair for Numerical Mathematics under the leadership
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approach to your well-being Develop your full potential: access to the DKFZ International Postdoc Program and DKFZ Career Service with targeted offers for your personal development to further develop your
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planning and control algorithms Multi-modal perception techniques (e.g., vision, tactile, force) Machine learning models for physical behavior prediction and manipulation strategy adaptation Real-world
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materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH (AMO ) in Aachen, Forschungszentrum Jülich (FZJ ), Max Planck
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with hosts in other countries. Programme information for postdocs (PDF, 132 KB) Programme information for experienced researchers (PDF, 138 KB) Search for potential hosts in the Humboldt Network (German
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position or post-doctoral position (m/f/d) (Position number: 19-2025 Postdoc PREVENT) in the field of Weather Extremes and Climate Modelling, starting on 01.09.2025. The position is funded for 12 months