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high-quality standards Confidence in the use of statistical modeling techniques and software (R or MPlus). This includes methods like panel data analysis, hierarchical models, spatial analysis
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about statistical and machine learning knowledge about gene editing techniques, e.g. CRISP-Cas he/she should have experience in bioinformatics, including next generation sequencing pipelines, data
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somatic variant calling - programming experience in scripting languages such as Python/Perl and/or in statistical program R is a necessity, - ability to work efficiently in a Linux command-line environment
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Max Planck Institute for the Physics of Complex Systems | Dresden, Sachsen | Germany | about 1 month ago
18 Mar 2024 Job Information Organisation/Company Max Planck Institute for the Physics of Complex Systems Research Field Physics » Biophysics Physics » Statistical physics Physics » Thermodynamics
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 days ago
carbon cycle modelling Proven skills in Fortran, Python, or similar programming language Skills in the processing, statistical analysis, and visualization of data Strong English language skills Ability
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Nutrition (EPIC) Study. You will implement and develop state-of-the-art scientific and statistical analysis techniques, in particular those based on machine learning, to develop integrated, multi-omics
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Experience in multivariate data analysis and statistics Experience in cheminformatics would be beneficial Good communication skills in spoken and written English language OUR OFFER Your new job is hosted in a
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Academic Europe / DDZ - Leibniz-Institut / Deutsches Diabetes-Zentrum | Germany | about 2 months ago
epidemiology, (bio)statistics or a comparable discipline, (2) the ability to work in an interdisciplinary manner with physicians and life scientists, and (3) knowledge of epidemiological methodology and
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Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ | Potsdam, Brandenburg | Germany | about 1 month ago
to improve the current monitor capabilities of the global ocean circulation. The candidate will help to overcome fundamental problems of Earth observation inversion by using statistical and numerical modelling
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or the willingness to acquire this at the beginning of the position Good statistical and methodological skills; experience in independently analysing empirical data (e.g. with R, Python or Mplus