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We are pleased to invite applications to a 3.5-year University of Manchester doctoral studentship in Social Statistics. The studentship is jointly funded by the Social Statistics Department
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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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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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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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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
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of machine learning and statistics - Implement and test generative AI in cooperation with industrial partners - Publish results at scientific conferences Was Sie mitbringen Requirements: - Strong master's/PHD
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or social inequality. You can find out more about the study here. Your tasks: Active participation in the project (including analysing the data using statistical methods, e.g. multi-level analyses, preparing
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statistical as well as communication skills are required. Working environment Apart from working closely with group members at the Kiel Institute, the successful candidate will liaise with external partners and
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | 11 days ago
analysing newly generated datasets and investigating the potential of novel algorithmic, statistical, and machine learning solutions to foster the creation of new computational tools. The position provides
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for biological inference and clinical translation Desirable, useful skills and experience: Protein structural modelling, pharmacogenetics, drug target validation, Bayesian statistics, Mendelian randomisation