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technology studies (STS), psychology, sociology, research methodology/statistics, philosophy of science, information science, or a related discipline. Methodological expertise in at least one—and preferably
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advancing the science underpinning sustainable, healthy and liveable cities of the future. This frontier research employs largescale digital datasets, artificial intelligence and statistical methods
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to daily lab operations. Knowledge, Skills & Abilities: Excellent laboratory and analytical skills and commitment to scientific excellence and innovation. Knowledge of statistics and data analysis and
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obtained in monkeys on implicit statistical learning within our laboratory. • Mastery and adaptation of bio-inspired Hebbian learning models • Evaluation of the ability of these models to account for data
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Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate statistical methods, prepare manuscripts for publication in
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independence polynomial, the chromatic polynomial, the Tutte polynomial, and various others that arise also as partition functions of spin systems from statistical physics. The goal will be to investigate
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background in statistics, and familiarity with large data sets such as metabolomics or epigenetic sequencing. Experience in epigenetics or gene regulation is a plus. Experience with statistical analysis tools
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 7 days ago
obtained before the employment start date; Experience in conducting high-quality quantitative research, with a strong command of statistical analysis of survey data, statistical programming (R/Stata), and
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FieldAstronomyYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in astrophysics or a related field. - Experience in data analysis. - Proficiency in Bayesian statistics and nonparametric
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PhD degree in Mathematics, statistics or theoretical computer science. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be