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Field
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research covers a wide range of topics from radiobiology, radiation physics and space research to radiation therapy. The radiobiologic modelling group focuses on developing strategies and mathematical models
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Voigtlaender) is part of the Mathematical Institute for Machine Learning and Data Science (MIDS) at the KU Eichstätt-Ingolstadt and is funded by the High-Tech Agenda of Bavaria. The advertised position is funded
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sciences (i.e. physics, mathematics, computer science, engineering, computational biology) with motivation for crossing disciplines to solve complex biological processes. Experience in Plant Biology and/or
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with a strong background in mathematics, computer science, or machine learning. The work has a strong focus on developing new objectives or new architectures for medical deep learning and on new ways
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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
skills to join our research team. The PhD candidate should have: A Master’s degree (or comparable) in theoretical physics, applied mathematics or related disciplines from a recognized university; Strong
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oceanography), ecology, mathematics, computer science, engineering, economics, or political science. Students who are still working on their Master's thesis are also encouraged to apply. Where to apply Website
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your mathematical interests and with whom/in which project you would like to work academic cv list of publications (if any) MSc thesis (or similar) if already available (otherwise a description of the
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to contact the working groups or PIs directly. Faculties Faculty of Agricultural, Nutritional and Engineering Sciences Faculty of Mathematics and Natural Sciences Faculty of Medicine Course language All
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Master’s degree in physics, applied mathematics, or related disciplines. You have knowledge in soft matter/complex systems physics, biological physics, or statistical physics. You enjoy working in
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(www.denkglobaldx.org ), our department hosts a diverse and interdisciplinary team working across diagnostic innovation, clinical and implementation research, mathematical modelling, data science, and health-economic