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long-term perspective. The remuneration is based on TV-L. Job description: you will develop and implement computational methods for multi-modal data integration, combining histopathological imaging data
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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 1 hour ago
for collaborative research with PhD students, including their supervision and teaching within the MuSES project. Application Process Interested and qualified individuals should submit the following: A curriculum
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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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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
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interpretation of OMICs datasets (DNA, RNA, proteome) Supervision and technical guidance of Bachelor’s, Master’s, and PhD students, as well as technical staff within the project context Participation in teaching
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 22 days ago
A doctoral degree in neuroscience or a related STEM field Prior experience in systems neuroscience using animal models A solid foundation in quantitative data analysis and statistics Programming
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27.06.2025 Application deadline: 15.08.2025 We are seeking an exceptional Postdoctoral Researcher – Evaluation Methods in NeuroAI (m/f/d, E13 TV-L, 100%) to develop statistical methods and
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, research, and teaching, we bear a unique responsibility. To meet our high standards every day, we are looking forward to your scientific expertise at the Clinic of Neurology – ideally with you on board
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completed scientific university education (Master's/Diploma) with PhD in horticulture sciences, agricultural sciences, biology environmental protection or a related field in-depth knowledge of organic
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PhD or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical