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close collaboration between wet-lab and computational scientists, good communicative skills in English are essential. German language skills are not required. Interested candidates should send one pdf
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. The research program may also involve a numerical simulation component. Your tasks #analyzing measurements of ocean turbulence using autonomous glider vehicles #use and develop machine learning methods
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highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW
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device fabrication; knowledge in neuromorphic computing General Requirements: above-average university degree achieved in a short study period willingness and ability to think beyond the boundaries of your
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qualification (usually PhD). Tasks: This research project funded by the German Science Foundation within the Priority Programme "Productive Biofilm Systems" aims at, in close collaboration with a partner group at
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, and translation. We recently discovered a set of oxygen-dependent post-translational modifications in RNA binding proteins that form molecular condensates, and a gene that catalyses these modifications
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. Furthermore, staff will participate in the Social Psychology Chair teaching and examination in the Psychology Bachelor, Teacher Training, and Master program in Psychology and Human Performance Socio
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Junior Research Group in the field of Metabolic Plasticity. What we are looking for in applicants: We are looking for established scientists in an early career phase (up to 6 years post-PhD) who
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or infrastructure. This is what makes our daily work so meaningful and exciting. The Division of Computational Genomics and Systems Genetics is seeking from October 2025 a PhD Student in Deep Learning for Rare
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integrating machine learning and domain-specific knowledge to predict failure arising from hydrogen embrittlement. You will carry out materials testing, computational model development, data processing, and