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immediately. The position (65% E13 TV-L) is embedded in the Research Training Group “cGMP: From Bedside to Bench ” ( GRK 2381 ) funded by the Deutsche Forschungsgemeinschaft (DFG). This research consortium
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biological techniques, as well as animal models, will be applied. We offer: Embedding in an internationally competitive scientific environment An established, broad spectrum of scientific methods A wide range
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International collaboration The PhD is embedded in a close collaboration between Prof. Dr. Natalia Tschowri (Leibniz Universität Hannover) and Prof. Dr. Daniel Rozen (University Leiden), including research stays
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the DFG Priority Programme “Molecular Machine Learning” and embedded in the research project “Multi-fidelity, active learning strategies for exciton transfer in cryptophyte antenna complexes”. The PhD
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the systematic exploration of polynomial-time tractability in the field of constraint satisfaction and its extensions, in particular promise CSPs, valued CSPs, and CSPs over infinite domains. The work is embedded
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gas/solid interfaces. The project is embedded into interdisciplinary and international cooperations involving partner groups from natural science and engineering ( https://www.sfb1452.research.fau.eu
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) for a full-time PhD position (E 13 TV-L, 100%) with a duration of four years. The position includes full support toward obtaining a doctoral degree. The PhD position is embedded in the DFG-funded Research
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English We offer: a stimulating, world leading research environment on biomolecular condensates embedded in a focused, interdisciplinary structured training program and close mentoring access to advanced
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research group. We value quality over quantity, both in terms of group size and when choosing publication venues. The lab is embedded into an excellent environment for research in computer science, with
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Further information Hochschule Offenburg Department of Electrical Engineering, Medical Engineering and Computer Science: Institute for Machine Learning and Analytics Institute of Reliable Embedded Systems