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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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medical machine learning for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and build their early scientific career. About
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network
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campus for natural and life sciences in Germany, bridging engineering sciences, computational sciences, and life sciences. Heidelberg University invites applications for the following full-time postdoc
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VOICES is a multidisciplinary project in history, computer science, and engineering that studies testimonies of Holocaust survivors. For this, it uses computational technology (specifically
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Technology (CIT) and TUM School of Medicine and Health is offering a 2y-4y postdoctoral full-time position in medical machine learning. The Computational Pathology Lab (https://schuefflerlab.org
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Bewerbungsende: 29.09.2025 VOICES is a multidisciplinary project in history, computer science, and engineering that studies testimonies of Holocaust survivors. For this, it uses computational
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development. It is one of the world's leading research institutions in its field and offers natural and social scientists from around the world an inspiring environment for excellent interdisciplinary research
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for inverse problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a master’s degree in electrical engineering
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Postdoc in "Navigating uncertainty: Planning marine protected areas in a changing Southern Ocean"...
covers nearly 10% of the world’s total ocean space. It is a habitat for over 10,000 known marine species. Politically, it is special in that the majority of the space represents Areas Beyond National