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-scale modelling, machine learning) High resolution analysis, monitoring of chemistry, structure and transformations at the atomic scale of buried interfaces and defects by correlated experimental
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Description Water can move in two interconnected realms: the fast, visible rivers at the surface and the slower, pressure-driven flow within substrates. Today, engineers can model each realm
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in a quantum microscope. Your tasks Planning and execution of optically-detected magnetic resonance experiments with diamond Analysis and modelling of the experimental data Carrying out literature
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on a single cell level. This includes single-cell RNAseq datasets and analysis tools, large high-dimensional flow cytometry phenotyping panels and a collection of transgenic mouse models specifically
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and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
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university degree (diploma, master's degree) in transport or traffic flow or related study programs. Solid knowledge of at least one programming language, preferably Python, experience in model-based
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Bremen, a private, state-accredited, English-language research university. Our research group focuses on modeling dynamical processes in (bio)molecular systems using quantum and classical approaches
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latest technologies Flexible working hours, part-time models as well as home office A corporate culture of appreciation and promotion of equal opportunities Extensive training and continuing education
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groups in Mainz (Schweiger lab) and Basel (Keller Valsecchi lab) to investigate the molecular mechanisms controlling gene reactivation during development. Using human induced stem cell models with
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will closely cooperate with the PhD student at GFZ in order to link the interpretation of geodetic GNSS measurements with the modelling of glacial-isostatic adjustment (GIA). You will focus your work