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collaborations. The Leibniz-HKI is embedded in the outstanding scientific environment of the Beutenberg Campus providing state-of-the-art research facilities and a highly integrative network of life science groups
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-Quantencomputern und Rydberg Atom-Arrays • Numerische Methoden mit Tensornetzwerken • Topologische Ordnung und (de)confinement in string-net Modellen • Quantenfeldtheorie, Gitter-QCD Bitte senden Sie Ihre Bewerbung
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environment of the Beutenberg Campus providing state-of-the-art research facilities and a highly integrative network of life science and technical science institutes and groups Strong scientific collaborations
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knowledge and experimental experience in X-ray photoelectron spectroscopy Suitability to work in a radiation protection area Ideally, experience with further methods in the field of surface characterization
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possibilities for career development and networking A broad range of gender equality measures An educational programme The opportunity to apply for pilot project funding For inquiries, please contact: Dr. Nina
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independent research with a focus on transnational terrorist actors and networks, their formation and organization, and on policies to prevent, to counter and to cope with terrorist activities; Publication work
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field such as computer science, bioinformatics, mathematics, computational life sciences, or related. Profound knowledge in machine learning, preferably deep learning for image data. Experience in
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publications with Peer-Review Your Profile: Completed university masters degree (physics/chemistry) with a PhD Strong knowledge and experimental experience in X-ray photoelectron spectroscopy Suitability to work
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dataset. We Offer Excellent framework conditions: state-of-the-art equipment and opportunities for international networking at the highest level Remuneration according to TV-L incl. occupational pension
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network