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of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
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scattering for structure and dynamics of these systems. For more information, see https://www.soft-matter.uni-tuebingen.de . Currently we are looking for a post-doctoral researcher to perform state-of-art X
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the future, our research addresses the development of systems for the strategy process in corporations and other organizations as well as systems for data analysis and simulations as part of this process. We
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spectrometry. ProteomicsDB (https://www.proteomicsdb.org/) is an internationally well-reputed publicly available database that provides information about proteins and other bio-molecules initially centered
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the objectives more precise; working on the individual PhD study project with its focus on the methodological contributions as well as on empirical data processing for the case study analysis in collaboration with
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, designed for acidic water-splitting reactions in polymer electrolyte membrane (PEM) units (e.g., https://onlinelibrary.wiley.com/doi/full/10.1002/aenm.202301450). Your tasks in detail: Collaborate closely
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or microfluidics and ideally in quantitative data analysis. As a theoretical candidate, you have knowledge in quantitative biology, soft matter/complex systems physics or statistical physics. You enjoy working in
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resource economics) or related disciplines strong analytical (i.e. microeconomics, production or resource economics) and methodological skills with a focus on quantitative data analysis (e.g. econometrics
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, functional data analysis, ideally, analysis of NGS/ RNA data • Proficient skills in one or more of the major statistical environments as R and/or Python • Experience working with life scientists would be
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) on the collection and processing of personal data in connection with your application http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of the data protection information