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- DAAD
- Technical University of Munich
- University of Göttingen •
- Forschungszentrum Jülich
- Leibniz
- Max Planck Institute for Biological Intelligence •
- TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
- Technical University of Darmstadt •
- Technische Universität Berlin •
- University of Bremen •
- University of Cologne •
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- University of Tübingen •
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Field
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Mathematical and computational methods to design and analyse biological systems Engineering biology to address current challenges in sustainability Creating new technology for the interrogation of cells
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the group at TU Munich see https://www.cs.cit.tum.de/en/dss/ You have: - a degree in Computer Science or Mathematics. - an interest in optimization, game theory, and online learning. - excellent communication
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-reviewed journals Your Profile: Master’s degree in environmental science, soil science, bioengineering, or applied mathematics Hands-on experience in using differential calculus Solid knowledge in soil
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Degree Doctor of Philosophy (PhD), Division of Mathematics and Natural Sciences or Doctor rerum naturalium (Dr rer nat) Course location Göttingen In cooperation with Max Planck Institute for Solar
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, knowledge integration, KG completeness, commonsense-reasoning or similar preparation of publications for submission to top-tier NLP or AI venues contribution to teaching and/or local BSc./MSc. thesis
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to teaching and/or local BSc./MSc. thesis supervision collaboration in national or international research projects (optional) Requirements: university degree (typically M.Sc.) in Computer Science, Computational
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available in the further tabs (e.g. “Application requirements”). Programme Description International students holding a Master’s degree in (molecular) biology, (bio-)chemistry, physics, mathematics
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information flow. Understanding these attributes is critical for the responsible application of such models to medical settings. Your Qualifications: - Holding an excellent MSc in the field of pure or applied
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networks and their demonstration as proof-of-concept implementation in an experimental 6G testbed. Your qualifications MSc in Computer Science or Electrical Engineering Strong background in networking and