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strategy Contribute to the preparation of grant proposals and funding applications to support future development of the gas pressure sensor technology Lead and coordinate project activities and work packages
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. For the purposes, we develop and use advanced (X-ray-based) methods. Your Job Lead the conceptual design, simulation, and implementation of a unique high-energy X-ray beamline for long-term operando investigations
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 months ago
. Responsibilities Develop and implement MRI microscopy protocols on a 9.4T preclinical (Bruker) scanner Design quantitative MRI methods sensitive to paramagnetic metals (e.g., iron) Acquire, process, and analyze high
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lead innovative research projects in cognitive neuroscience Coordinate experimental activities and support PhD researchers within the team Contribute to ongoing externally funded projects Publish in
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Responsibilities design and lead an independent translational research project actively participate in the scientific development of MAZI contribute to the supervision of MSc, MD, and PhD students collaborate with
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Centre TRR 341 “Plant Ecological Genetics” , a large interdisciplinary consortium spanning the University of Cologne, Forschungszentrum Jülich, and partner institutions. Your Job You will lead the machine
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development studies. Development of the global case database (WP 2): Together with the PI and the PhD researchers, you will lead the development and quality assurance of the AI-assisted coding procedure
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Rydberg Atom-Arrays • Numerische Methoden mit Tensornetzwerken • Topologische Ordnung und (de)confinement in string-net Modellen • Quantenfeldtheorie, Gitter-QCD Bitte senden Sie Ihre Bewerbung per E-Mail
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remarks. An explanation of your motivation for international networking within the framework of trinational cooperation, as well as your willingness and commitment to lead one of the working groups
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-advertising auctions. The economic properties of such systems are still poorly understood. In general, learning procedures in game-theoretic problems can exhibit cyclic behavior or even lead to chaotic dynamics