235 assistant-professor-computer-science-data-"https:"-"https:"-"https:" PhD positions in Germany
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qualification program for PhD students containing excellent multidisciplinary training with tailor-made subject-based and soft skills courses, annual retreats, summer school, and a supervision concept. More
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in Life Sciences or in Computational Biology • Experience in flow cytometry, cell culture and in high-dimensional single-cell data analysis and programming skills are a plus • Organizational skills and
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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documents. Please send them by e-mail to marius.henkel@tum.de Technical University of Munich Prof. Dr.-Ing. Marius Henkel | Assistant Professorship of Cellular Agriculture | TUM School of Life Sciences Gregor
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completed academic university degree in a relevant field (e.g. biochemistry, biology, chemistry, or medicine) with very good/good grades (proof of completion of the master’s degree must be submitted no later
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motivation for basic science research Beneficial: prior experimental experience with the nervous system Beneficial: skills in biochemistry, cell culture, electrophysiology, or microscopic techniques WE OFFER
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, cell biology, biomedicine, molecular medicine, human biology, or biochemistry for a PhD thesis. This project is embedded within the DZIF-German Center for Infection Research, thematic translational unit
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-inflammatory features Key Responsibilities: • Conduct wet lab experiments to generate data describing the context-dependent Treg identity and underlying transcriptional networks. • Collaborate with project
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available in the further tabs (e.g. “Application requirements”). Programme Description The PhD scholarships support highly qualified junior academics from the historical sciences with excellent academic
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21.10.2021, Academic staff PhD Position at TUM Department of Science, Technology & Society (65% for 3 years) within a DFG-funded research project led by Dr. Susanne Koch and affiliated with