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processes that produce energy and raw materials. The Department of Thermodynamics of Actinides is looking for a PhD Student (f/m/d) - Machine Learning for Modelling Complex Geochemical Systems. The job
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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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Description With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed
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production, antibody binding assays, germ-free and gnotobiotic mouse models and human samples, bacterial transcriptomics, and single cell host transcriptomic analysis to obtain a detailed mechanistic
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Description With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed
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of the epithelium, alarmin responses and Dendritic cell activation have all been implicated in the induction of type 2 immunity and potential differences between helminth induced and allergy associated type 2
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machine learning approaches. These are similar to earlier work on charge and excitation energy transfer (see https://constructor.university/comp_phys). The project for the PhD fellowship is slightly more
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to explain biological phenomena and disease mechanisms by leveraging biophysical theory and mechanistic, mathematical modeling. Our interests include the inflammatory responses to infection, the organization
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, infrastructure, energy, and medicine. As we face the challenge of making metallurgy more sustainable, there is an urgent need for innovative solutions to reduce carbon emissions during synthesis, enhance
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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