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across biological scales, from molecular dynamics and intracellular signaling to organismal behavior. A central focus of the group is understanding how ion channels contribute to environmental adaptation
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Model. In parallel, the group is engaged in hardware activities related to the development and implementation of new FPGA-based trigger processors, both for the operation of the ATLAS muon spectrometer
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internal groups and external partners, particularly at DESY, ESRF, and other large-scale research infrastructures Present research at international conferences and publish results in leading peer-reviewed
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scales. We integrate paleomagnetism and rock magnetism with field geology, structural geology, tectonics, geophysics and geodynamic modelling to address plate-boundary evolution, lithospheric deformation
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research profile in the core topics of education, culture, management/technology, sustainability and state. Its international study model with the Leuphana College, the Leuphana Graduate School and the
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• Interdisciplinary applications ranging from biomechanics and geophysics to fluid and polymer models Further information can be found here: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis
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competitive salary, aligned with German university pay scales (TV-L) and institutional regulations. Where to apply Website https://jobrxiv.org/job/ulm-university-27778-post-doc-reinforcement-learning-fo
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-learning approaches. Projects may also include detailed molecular and functional characterization of particularly exciting candidate evolutionary changes using organoid and mouse models, CRISPR-based
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University Medical Center Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 2 months ago
questions including; immunology, oncology (in vitro model-organoid systems, ex vivo tissue culture), microbiology, next generation sequencing (16S seq, RNA seq, single cell sequencing, spatial transcriptomics
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will focus specifically on investigating hillslope-riparian zone-stream connectivity at the reach-to-catchment scale for a better understanding and spatially distributed prediction of subsurface