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the areas of biochemistry, structural biology, biophysics, cell biology, systems biology, and computational biology. We are looking for outstanding graduates from all over the world to join our network
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and 7 by industrial partners.•Personalized Career Development Plans: Each DC of MATCH network has a personalized training program established. The program describes the research training goals
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26 Aug 2025 Job Information Organisation/Company Humboldt-Universität zu Berlin Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions
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Computer science Researcher Profile First Stage Researcher (R1) Positions Other Positions Country Germany Application Deadline 15 Oct 2025 - 23:59 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Is
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Research Assistant (m/f/d) in the field of Theoretical Ecology and Evolution or Computational Biolog
Evolution or Computational Biology (salary grade 13 TV-L, 100%) to commence on January 1, 2026. The position will initially be filled for three years. In case of a positive evaluation, the position can be
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data mining. The group provides a strong network to local AI expertise (e. g. Hessian.AI, TU Darmstadt), large scale compute infrastructure, as well as a broad international network (Stanford, UC San
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of organic and inorganic molecules encapsulated inside 2D materials. As a PhD student, you will become part of an excellent scientific network and benefit from our structured, interdisciplinary graduate
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stepped-care prevention program with the following core components: “Mental health project days”, A digital emotion regulation training, and Tailored e-mental health modules, depending on the individual
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of organic and inorganic molecules encapsulated inside 2D materials. As a Postdoc in Theoretical Chemistry, you will become part of an excellent scientific network. You will have access to cutting-edge
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: Masters and subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience in neutron spectroscopy, e.g. INS, QENS, NSE Good knowledge of the structural characterization of matter