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-of-the-art in silico protein structure prediction methods and in vitro screening approaches will be used to systematically elucidate the amyloidogenic potential of the gut metaproteome. Specifically, gene
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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
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methods from information systems, such as qualitative interviews or simulation-based modeling to investigate questions at the individual and organizational levels Interest in financial applications
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methods from information systems, such as qualitative interviews or simulation-based modeling to investigate questions at the individual and organizational levels Interest in financial applications
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methods from information systems, such as qualitative interviews or simulation-based modeling to investigate questions at the individual and organizational levels Interest in financial applications
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live in. Your role This position is inside the SPETRA doctoral training unit which investigates new materials, methods and concepts for converting sunlight into usable energy sources. Inorganic
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particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting contemporary history of Luxembourg and the history
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assess risks of de-anonymization, including researching current de-anonymization strategies Deploying and benchmarking anonymization methods. Investigation of state-of-the-art methods from cryptography and
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fields with a socio-technical background Interest in data anonymization and/or technology law will be considered an asset Interest in applying methods commonly used in information systems research (e.g
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and very good knowledge in quantitative and qualitative research methods Good knowledge of statistical software (e.g. SPSS or STATA or R or JASP) Strong commitment and the ability to work in a team