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- Technical University of Munich
- Helmholtz Association of German Research Centres
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Forschungszentrum Jülich
- Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS)
- Max Planck Institute of Animal Behavior, Radolfzell / Konstanz
- University of Tübingen
- AWI - Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research
- BAM Bundesanstalt für Materialforschung und -prüfung
- DAAD
- Deutsches Elektronen-Synchrotron DESY
- Free University of Berlin
- HITS gGmbH
- Helmholtz-Zentrum Berlin für Materialien und Energie GmbH
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr
- Max Planck Institute for Chemistry, Mainz
- Max Planck Institute for Physics, Garching
- Max Planck Institute for the Science of Light, Erlangen
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- Max-Delbrück-Centrum für Molekulare Medizin
- Max-Planck-Institut für die Physik des Lichts
- Ruhr-Universität Bochum
- Saarland University
- Ulm University
- University of Bonn Medical Center
- University of Potsdam
- Universität Duisburg Essen
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Field
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lead innovative research projects in cognitive neuroscience Coordinate experimental activities and support PhD researchers within the team Contribute to ongoing externally funded projects Publish in
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Research Engineer or Postdoctoral Researcher (m/f/d) in the field of Engineering Physics or Material
engineering A completed Master’s degree or PhD in Engineering Physics, Materials Science, Engineering or a similar discipline The ability to work independently, a willingness to learn, and a team spirit Good
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Support proposal writing where appropriate Your Profile Completed Master's degree in Electrical Engineering, Physics, Materials Science, or a related field; a PhD is an advantage Hands-on experience in
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Master’s degree or PhD in Engineering Physics, Materials Science, Engineering or a similar discipline The ability to work independently, a willingness to learn, and a team spirit Good English skills
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degree (M.Sc./M.Eng.) and PhD in the field of Polymer Science or comparable Experience in the field of mechanical testing or environmental stress cracking and damage mechanisms Ideally, expertise in
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, for event reconstruction and classification, including potentially machine learning/AI Interpretation in suitable theoretical models Contribution to software activities that are required for wider use by DESY
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Science in Earth Observation develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth
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Postdoc (f/m/d) Mechanical Characterization and Materials Assessment for Nuclear Applications / P...
international conferences Your profile # Completed PhD in Materials Science, Physics, Materials Engineering, Nuclear Engineering, or a related field # Strong background in the mechanical behavior and fracture
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administrative tasks. Developing proposals for projects and securing external funding Providing academic guidance to a group of early-career researchers Your profile a successfully completed PhD in physics
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position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoctoral Researcher - Machine Learning for Plant Regulatory Genomics