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). The Schirmeier lab is a small multicultural research group with PhD students and postdocs of different nationalities. Thus, the group’s communication is in English. We aim to analyze the metabolic homeostasis
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: Prof. Dr. Steven Travis Waller, Chair of Transport modeling and simulation, and co-supervised by at least one additional professor, plus an international tutor of the CRC Requirements: excellent
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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
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(extravascular coagulation signaling) in homeostatic condition as well as in aging mouse models. Identification of these interactions could provide new approaches to counteract or delay age associated exhaustion
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the Access-Repair-Restore model. Histones, an essential component of chromatin, are post-translationally modified via methylation, ubiquitination, and acetylation to regulate DDR-related chromatin functions
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on mesoscale fluid dynamic simulations, microclimatic and turbulence modelling procedures in urban environments shall be performed. Subsequently weather-and turbulence-related limit values shall be formulated
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conferences Requirements: a university degree in the field of computer science, data science, computational modeling or related subjects in combination with civil engineering, transport engineering a strong
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results from numerical modelling of surface mass balance, firn compaction and ice flow dynamics identifying and quantifying processes of ice sheet change and ice mass balances developing stochastic
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and organoid tissue culture models to study the LTM effects on inflammatory signaling and virus-induced carcinogenesis. Unique 3D-cell biology techniques as well as molecular biology techniques, such as
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quantification, model-order reduction, or multi-fidelity methods. The primary fields of application are life science, medicine and health, earth observation, and robotics. Consequently, a MUDS student will learn