192 computational-physics "https:" "https:" "https:" "https:" "Univ" positions at Nature Careers in Germany
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communication of research results in stakeholder dialogues with industry actors and policymakers Requirements: Master’s Degree or PhD in Computer Science, Physics, Engineering, Mathematics, Economics
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submitted online via the appointment portal of Heinrich Heine University Düsseldorf: https://berufungsportal.hhu.de If you have any questions regarding the position, in particular concerning the bioeconomy
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the development of the faculty's newly created research cluster “Biotic Interactions in the Anthropocene” (https://go.ur.de/biotic-interactions) are desirable. It is expected that the professorship will strengthen
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printing) and computer-assisted load analysis Expertise in the numerical simulation of realistic loading scenarios of the musculoskeletal system Your Profile: The future position holder has an academic
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applications for the AG Liesz on the 1st April 2026, in full time, for Postdoctoral Researchers in Trained Immunity, Epigenetics or Computational Biology – ERC funded (m/f/d) Scope of duties A postdoctoral
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Universität Regensburg The Department of Physics, University of Regensburg, invites applications for a Professorship of Experimental Physics (Chair, Paygrade W 3) to be appointed as soon as possible
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for a candidate with the potential to build a world-leading, independent research program in the field. You will be responsible for appropriately representing the field of machine learning in digital
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, which might include analysis and comparisons with the dynamics in tropical countries (VBD-mode, funded by BMFTR; https://clinicalepi.de/projects/vbd-mode.html) Collaborating closely with national and
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. As part of the DFG-funded
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established Systems Neuroimmunology Laboratory at LMU Munich (www.m-kaufmann.com ) is seeking a motivated and creative PhD candidate passionate about combining immunologic methods and advanced computational