22 data-science-phd Postdoctoral research jobs at Technical University of Munich in Germany
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advanced wet-lab experience in molecular biology and in reverse genetic approaches. • You are familiar with FAIR data handling and in silico data analysis. • You work precisely and reliable. YOU FIT TO US
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. • Experience with the analysis of mRNA transcriptomic data sets, in particular with single-cell RNA-seq data analysis pipelines (Seurat, Scanpy). • You are a highly motivated scientist with the drive to develop
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the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We
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. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal
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, Wissenschaftliches Personal The Livestock Systems research group at the TUM School of Life Sciences is recruiting a postdoctoral researcher (m/f/d) to work on grassland restoration. The aim of our group is to improve
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28.11.2023, Wissenschaftliches Personal The Institute of Automotive Technology is looking for a talented postdoctoral fellow in the field battery research aiming to continue his/her excellent
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19.07.2022, Wissenschaftliches Personal The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current
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Academy of Management Journal, Academy of Management Review, Administrative Science Quarterly, Entrepreneurship Theory & Practice, and Journal of Business Venturing, Journal of Product Innovation Management
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the following areas: PhD in mechanical/electrical engineering, robotics, computer science, or a comparable field, Experience in self-reliant managing of research projects (financial and administrative) and