194 phd-mathematical-modelling-population-modelling Postdoctoral research jobs in Germany
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scientific partners Publication of results in form of scientific papers and presentations at international conferences About you: Scientific university education in Mathematics with PhD or similar Skills and
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lipid cell biology and metabolism with the help of the Drosophila model. The mission of the Nephrogenetics unit is to advance the understanding of the underlying molecular and cellular mechanisms
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, multimodal modelling) focusing on the complete spectrum of human communication channels. It aims to understand how women and men remember about their time in Nazi concentration camps, as well as the way memory
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Bonn, Nordrhein Westfalen | Germany | about 6 hours 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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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 3 hours ago
. 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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for the Quantification of Domain Uncertainty Propagation in Cardiovascular Models" as part of the Berlin Mathematics Research Center MATH+. The purpose of this position is to conduct research in the field of model
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Design and implement optimization techniques for full-stack improvement of quantum algorithms Model major sources of experimental error for control theory or for error mitigation techniques Scientific
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participants, and mathematical / statistical modeling. Requirements for employment are a completed PhD degree in a relevant field (Linguistics, Cognitive Science, Psychology, Philosophy, or similar), near native
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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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models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio