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the Bavarian research network bayklif2 (https://bayklif2.de ) • PhD studies supported by our faculty's structured graduate program (RIGeL) • An outstanding scientific infrastructure, excellent international
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opportunity to be part of the BaySensAI project (https://go.ur.de/baysenseai ) and develop an AI-based prediction and monitoring system for biodiversity data as part of the Bavarian research network bayklif2
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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written and spoken German and English. • High level of initiative, analytical thinking, teamwork and communication skills. How to apply: • Applications should include a CV, electronic copies of your
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oral English Interactive person with good communication skills Used to work in international teams Ideal prior knowledge on MD simulations Our Offer: We work on the very latest issues that impact our
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Degree Dr rer nat (Doctor rerum naturalium) PhD (Doctor of Philosophy) Course location Ulm Teaching language English Languages Our international PhD programme is only offered in English. Programme
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which the post will be removed from the team website). However, we strongly recommend to submit your applications by 12.01.2026. The initial contract is for one year, which can be extended, up to a total
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qualified scientist PhD or MD degree in physiology, biophysics, biochemistry, cell biology, molecular biology, or a related discipline Experience in cardiac or skeletal muscle research and a strong interest
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the de.NBI / ELIXIR-DE network Participation in working groups of the HUPO-PSI MS standardization initiative, ELIXIR Metabolomics and Proteomics Community, Lipidomics Standards Initiative and participation in
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microbial communities. This PhD project focuses on bacterial secretion systems involved in these processes and is funded by a Germany-wide network on illuminating gene functions of the human intestinal