44 postdoc-molecular-dynamics-simulation PhD positions at Technical University of Munich in Germany
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insights into the dynamic distribution patterns of human tissue resident T helper cells across space and time. Topic: Dissecting the body-wide spatio-temporal organisation of human resident T helper cells T
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Master’s students, supporting their academic and research development. ▪ You will be part of a dynamic international team dedicated to advancing quantum technologies and computing with superconducting qubits
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Signals in Cancer” (Head: Prof. Dr. med. Jürgen Ruland) is to (i) explore the molecular mechanisms and pathways that drive immune dysfunction and immunotherapy resistance, (ii) modulate cancer
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and regulatory compliance for innovative NLP applications. Full-time position (100% TVL-E 13). A collaborative environment in a dynamic, young team at one of Europe’s top universities. Opportunities
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to run simulations. The work will entail conducting analyses and presenting the results through peer-reviewed publications. What we expect from you: • University degree (M.Sc.) in Agricultural Science
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background, interests and motivation) • Curriculum Vitae (CV) in English • PDF copies of earned university degrees and transcripts of individual grades • PDF copy of your Master’s thesis or a seminar paper The
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university degrees and transcripts of individual grades • PDF copy of your Master’s thesis or a seminar paper The position is suitable for disabled persons. Disabled applicants will be given preference in case
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supervision by AI and metabolomics experts at lifespin, as well as by participating professors from the TUM and HSWT. KEY RESPONSIBILITIES Simulating synthetic NMR spectra based on biophysical principles and
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and dynamic team at TUM's Garching site Flexible working hours Individual opportunities for further training You will receive a scholarship from TUM IGGSE (2000 € per month stipend) + mobility funding
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all over Germany join forces to integrate a thermodynamic description into the processes understanding of soil systems and gain insights into how energy and matter fluxes drive organic carbon dynamics