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structures but also free energies. The work sits at the interface of statistical mechanics, molecular simulation, and deep generative modeling, and is embedded in SIMPLAIX, a research initiative on multiscale
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 2 months ago
for the Research Group Biofluorescence: PhD candidate (f/m/d) This project, funded by the DFG as part of CRC 1752, "DYNAMO: Immediate Tumor Dynamics in Melanoma Therapy“ (https://www.uni-due.de/crc1752/ ) seeks
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the relationship between whole-tree water use and wood cell formation in trees, using advanced growth models to predict the future of wood formation and carbon allocation in forests facing drier conditions. Within
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to state-of-the-art research infrastructure including single-cell omics platforms, imaging, and biobanking facilities, as well as complementary scientific expertise spanning liquid biopsy technologies
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Polytechnique de Toulouse (INPT). The PhD student will be part of a group of largely modelling PhD students all trying to make computational fluid dynamics modelling more sustainable in a comprehensive sense
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Candidate must have experience in molecular cell biology techniques (cloning, transfection, qPCR, IHC, IP, IF etc.) Candidate must be willing and comfortable working with mouse models and gaining experience
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. By employing and advancing existing cell culture model systems, combined with state-of-the-art readouts including transcriptomics, epigenomics, metabolomics, flow cytometry and imaging, this project
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precision Standard Model predictions for the LHC, perturbative QCD, top-quark and Higgs-boson physics. The successful applicant will be hosted by the Institute for Theoretical Particle Physics and Cosmology
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activities—particularly increasing energy production and consumption, but also natural processes—release large quantities of trace substances, thereby influencing the composition of the atmosphere and the
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(IAS-2), we employ theory, modeling, and simulation to study and understand the structure, self-assembly, and dynamics of complex fluids, active soft matter, and living matter - on the basis of physical