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instruments at FRM II. You will actively participate in R&D programs aimed at exploring novel detector concepts for neutron scattering applications, conducted within an international framework. You will enhance
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Hochschulstudium der Medizin, die qualifizierte Promotion und die pädagogische Eignung, die i. d. R. durch Erfahrung in der Lehre nachgewiesen wird. Außerdem sind zusätzliche wissenschaftliche Leistungen (die
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policy impact evaluation, systematic reviews, or evidence synthesis is an asset; Knowledge in statistical software (e.g., R, STATA, or Python) is an asset; A sound understanding of econometrics, meta
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international environment Very good command of written and spoken English Desirable Good knowledge of the statistical programming language R Experience with vegetative fossils of seed plants, i.e. leaf venation
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degree in a health-related subject is not required to apply Training and experience in quasi-experimental methods is a plus Strong coding skills in R, Stata, or other statistical software package Good
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Promotion und die pädagogische Eignung, die i. d. R. durch Erfahrung in der Lehre nachgewiesen wird, außerdem zusätzliche wissenschaftliche Leistungen (die Habilitation, eine erfolgreich evaluierte
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27.06.2023, Wissenschaftliches Personal Gesucht wird ein*e wissenschaftliche*r Mitarbeiter*in, für die Lehre im Bachelor Gesundheitswissenschaften und internationalen englischsprachigen Master of
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discipline or in public health, social epidemiology Fluent English language skills (written and oral) Ability to analyze quantitative data using Stata or other software programs (e.g., SPSS or R) Ability
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strong background in Applied Statistics) Knowledge of R, Python or Stata (and willingness to work with R) Experience in quantitative text analysis Very good command of English and German A substantive
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software, 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