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expertise. The Clinical Epidemiology Unit (clinicalepi.de ) uses and develops modern statistical and mathematical methods for the analysis of primary and secondary data. A particular focus of the Unit is the
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 6 days ago
. The position We welcome applications from researchers with a PhD in demography, statistics, sociology, economics, epidemiology, public health, or allied fields. Depending on background and interests
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 7 hours ago
Demography . We welcome applications from researchers with a PhD in demography, statistics, sociology, economics, epidemiology, public health, or allied fields. Depending on background and interests
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical
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chromatin biochemistry and in vitro reconstitution o bioinformatics workflows (R/Python), statistics, reproducible analysis o third generation sequencing (e.g. Oxford Nanopore) fluent English language
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programming language such as C or Fortran Strong expertise in data analyses and statistics Experience in ecological or environmental modelling Documented ability to publish scientific papers in international
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matter properties Physics » Statistical physics Physics » Computational physics Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Country Germany Application Deadline 6 Feb 2026
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | about 2 months ago
, conservation biology, fishery management & conservation, or related fields A strong background in handling large data sets, programming (preferably in R), statistical analysis, modelling, and mapping Highly
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well as an interest in biological and soft matter physics. Expertise in studying pattern formation, elasticity theory, statistical physics, or biological physics is a plus. Programming skills are highly desirable