40 algorithm-development-"St"-"St" research jobs at Technical University of Munich in Germany
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wellbeing. They will use modeling approaches to combine natural and social science data. You will focus on developing and implementing mixed modeling approaches to test pathways through which structure
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for probing chemistry at surfaces and interfaces [1]. We want to strengthen this research direction by i) developing a second generation of NV-based NMR spectrometer and ii) applying it to material/energy
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transporters, e.g. PIN auxin efflux carriers, in plant development. The projects routinely employ combinations of cell biological, biochemical and developmental approaches to deepen the understanding
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to the research and development of dexterous end effectors for a new 6G-based teleoperated surgical robotics system. This position stems out of the large scale 6G-Life project (https://6g-life.de/) and will give
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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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in the vicinity to the vibrant city of Munich, very well connected by train (ca. 30 minutes), and a perfect starting point to explore the Bavarian Alps and the rest of Germany. Working hours are
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chemical functionalities. The prospects of porphyrin-based 1D, 2D, and 3D materials for device development will be assessed in collaboration with research partners from industry and academia. A key concept
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scientific work. After an orientation period, you will have the opportunity to take over the leadership of a team in the EV Lab. Your professional and private development is very important to us and will be
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scientific career. About us TUM’s new Computational Pathology and Medical Machine Learning lab (*2021) develops methods of machine learning (ML) and artificial intelligence (AI) for the analysis of digital
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10.03.2023, Wissenschaftliches Personal We are looking for a motivated Ph.D. student or post-doc interested in developing novel processes that boost the production of bio-based liquid fuels and