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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 17 days ago
Job Code: MPIDS-W088 Job Offer from October 01, 2025 In the Department of Living Matter Physics (LMP) we seek to fill a number of Postdoctoral Researcher positions - Statistical Physics and Active
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Physics (LMP), we seek to fill Postdoctoral Researcher Position (M/F/D) Statistical Physics and Active Matter The LMP department engages in a wide range of theoretical research aimed at understanding
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or empirical research including statistical data analysis. The position is associated with the project “Probabilistic Reasoning about Common Ground” under the auspices of the Collaborative Research Center
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survey experiments; • Competence in statistical programs (STATA, R etc.) • Ability to write and publish in social science journals; • Strong organizational and communication skills; • Excellent command
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in vitro work including planning of experimental design, statistical analysis of results and interpretation of results Establishing new techniques in-house Contributing to a stimulating, curiosity
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Postdoc (f/m/d) in Irradiation Tolerance of Additive Manufactured Ferritic/Martensitic Steels for...
) # Solid skills in scientific data analysis and statistical evaluation # Good command of MS Office and reference management tools (e.g. Zotero, EndNote) # Excellent written and spoken English, German skills
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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | 4 days ago
understanding Knowledge of statistical analysis and programming languages Strong interest in interdisciplinary research into protein mechanisms of action Flexibility in scientific activities in the laboratory and
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through publications in relevant journals; solid quantitative/statistical background (e.g., probability theory, linear algebra, optimization) Strong expertise in at least one of the following areas, with
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biology, (bio)chemistry, bioinformatics or a related field High affinity to data and large-data-driven science, as well as strong logical understanding Knowledge of statistical analysis and programming
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the integration of large-scale biological datasets derived from both the host and the microbiome, employing advanced statistical methods and cutting-edge artificial intelligence techniques to uncover novel insights