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disciplines (meteorology, environmental science, high performance computing, software development and data science). Your Profile: Mandatory qualifications are: M. Sc. degree in meteorology, physics
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current transdisciplinary debates and critical discussions relevant to human geography in the aforementioned subject areas. For further insights into our work, please visit https://www.humangeographie.uni
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closely linked to a related opening at IMD-1 at Forschungszentrum Jülich within the same project consortium: https://www.fz-juelich.de/en/careers/jobs/2025-361 Please feel free to apply for both available
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experimental systems for cryogenic measurements Development of a microwave quantum control & readout stack Development of Python code to operate quantum systems Detailed experimental characterization
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researcher. Comprehensive training offers and individual opportunities for personal and professional development. Very good conditions for work-life balance and a family-friendly corporate policy. Flexible
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Postdoctoral Position (m/f/d) in Experimental Bio-Spectro-Electrochemistry at the University of Bonn
research interests. The project will focus on the further development and application of SERR spectro-electrochemistry to elucidate catalytic mechanisms in metalloenzymes. We expect that you have a PhD in
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development of your personal strengths, e.g. via a
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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials
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contributing to a highly international and interdisciplinary team Motivation for academic development, supported by bachelor’s and master’s transcripts and two reference letters Working proficiency in English
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particle physics. In all of these areas, methodological development through machine learning is taking place — for example, in predicting the evolution of complex molecular systems over long timescales