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statistical expertise and mentorship to PhD candidates within the LEVER project. Support the research activities of the Cultures of Sustainability Unit. Assist in the development and delivery of teaching and
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to Understand and Improve Veterinary Infectious Disease Models The interdisciplinary 3RTG Graduate School invites applications for PhD positions in the field of infectious disease research using animal models
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, Human-Computer Interaction, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related
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scientists and bioinformaticians at the national and international level Your profile PhD or equivalent qualification in computational biology, bioinformatics, or a related field in the computational
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] Position Title: Position Type: Postdoctoral Position Location: Greifswald, Mecklenburg-Vorpommern 17489, Germany Subject Areas: Soft Condensed Matter Physics Statistical Physics Statistical and Biological
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, Oxford, London, and Cardiff (regular cross-site meetings and joint outputs). Requirements PhD in Psychology, Mathematics, Computer Science, Neuroscience, Physics, or a related field. Strong skills in
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
postdoctoral researchers, students, and visitors. The research The postdoctoral researchers will engage in theoretical and computational research in Nonequilibrium Statistical Physics and Active Matter. For more
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; you will communicate findings in meetings, publications and international conferences. Essential requirements: academic degree (MSc/PhD) in a relevant field (e.g., computer science, bioinformatics
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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
. Statistical and modeling analysis of radio-to-gamma-ray variations in relation to high-energy neutrino events to search for a possible connection between electromagnetic synchro-compton flares and neutrino
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interdisciplinary field that tackles fundamental questions across all domains of population research by combining the methods and perspectives of computational sciences, social and behavioral sciences, and statistics