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In this PhD position, you will help design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed
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will involve an assessment of applications, followed by interviews with shortlisted candidates. Further information about the network is available on the DESIRE website . Additional comments PhD key
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with expertise in experimental neuroscience, behavioral studies, and data analysis. The position is linked to a research project investigating how humans acquire new motor and cognitive skills and how
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background and interests, with an emphasis either on iPSC-based disease modelling or on computational analysis and integration of multi-omics data.
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++, or similar) for simulation and data analysis. Experience in managing multiple concurrent tasks and priorities independently and track record of meeting project deadlines and delivering results without constant
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that looks plausible but violates physics and is therefore of limited use for grid planning. As a PhD candidate you will develop physics-informed, domain-constrained generative models for energy-system data
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of microbiome and clinical data; experimental studies of microbial adhesion and biofilm formation; analysis of carbohydrates and proteins involved in host–microbe interactions; and protein profiling
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different scenarios; implement and validate simulation models for system analysis, scenario evaluation, and future optimization; collaborateclosely with researchers, industrial partners, and fellow PhD
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methods. Perform FRET assay experiments to study interactions between NMD genes. Preparing scientific publications and analysis of data from biological experiments. LanguagesENGLISHLevelGood Additional
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-) immunoprecipitations from neuronal cell models and brain tissue followed by quantitative LC-MS/MS, and you will run that workflow from end to end – from sample preparation to data analysis and interpretation. Candidate