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of differential and probabilistic programming. This exciting new field of research combines knowledge from the machine learning, programming languages, scientific computing, and statistical physics communities
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of differential and probabilistic programming. This exciting new field of research combines knowledge from the machine learning, programming languages, scientific computing, and statistical physics communities
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. The Mathematical Institute has four research themes: Algebra, Geometry and Number Theory; Analysis and Dynamical Systems; Probability Theory; and Statistics and Data Science. LIACS concentrates on the study of
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of differential and probabilistic programming. This exciting new field of research combines knowledge from the machine learning, programming languages, scientific computing, and statistical physics communities
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, econometrics, medical statistics, or a related field. You should have demonstrable skills in quantitative research methods and a strong interest in applying these to real-world healthcare challenges. You should
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at the link https://www.rug.nl/gmw/ You will be working at the Psychometrics and Statistics (P&S) department in close cooperation with the Department of Critical Care of the University Medical Center Groningen
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some experience with quantitative methods and statistical software like R, STATA, Python or similar Be enthusiastic about writing international, prestigious academic publications Dutch language is not
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statistical programming languages, such as R or Python; (ideally) has gained some experience in writing scientific publications. Our offer A position for one year, with an extension to a total of four years
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English (C1 level) and has excellent communication skills; is well-versed in statistical programming languages, such as R or Python; (ideally) has gained some experience in writing scientific publications
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, which should be highlighted explicitly in your application letter. You have strong data analysis skills. Experience with bioinformatics tools and statistical analysis for high-throughput data is highly