290 phd-mathematical-modelling-population-modelling Postdoctoral positions in Germany
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- Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr
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Georg-August-Universitat Gottingen, Mathematics Institute Position ID: Gottingen-RESEARCHASSISTANT [#27660] Position Title: Position Type: Postdoctoral Position Location: Goettingen, Lower Saxony
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method developments. Requirements: Completed university degree in natural sciences with a PhD in biology, biochemistry, microbiology, biotechnology, or a related field Prior experience in phage biology
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | 3 months ago
within an interdisciplinary and international team, as well as with external partners. PhD in neuroscience, biology, or a related discipline Solid experience in animal research, including rodent models and
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. Project Objectives 1. Observational studies of AGN jet geometry, collimation and acceleration: Measurements of jet shapes from parsec-scale images. Multi-year kinematics and model analysis to probe
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to other organoid and tissue models Your Profile: PhD in electrical engineering, automation, robotics, computer science, or a related field, with evidence of innovative and impactful research Demonstrated
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in the institute Analysis and summarizing experimental results Presentation of experimental discoveries in scientific journals and international conferences Working in collaboration with PhD students
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
disease using population-based epidemiology approaches. Knowledge of these interactions leads to novel targeted prevention and intervention approaches for cardiometabolic diseases and allergies. A
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Max Planck Institute for Chemical Physics of Solids, Dresden | Dresden, Sachsen | Germany | about 1 month ago
the institute Analysis and summarizing experimental results Presentation of experimental discoveries in scientific journals and international conferences Working in collaboration with PhD students and research
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Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field Experience in developing deep learning models Ideally, prior experience in analyzing biological
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Experience in Palynological, Archaeobotanical and Geographical approaches, Modelling and programming, as well as an interest in Historical, Social and Anthropological questions. Active participation in