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“NANeurO,” which focuses on the development of injectable nanoelectrodes for wireless and minimally invasive neural stimulation. About us The NEN Lab works with new materials for wireless communication with
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vibrant and interdisciplinary research environment at TUM Access to unique datasets and collaboration with a well-established European network Opportunities for professional development and academic career
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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us We are TUM’s unique Pathology AI lab developing new machine learning (ML) methods for automatically analyzing digital pathology data and related medical data. Such methods include the automatic
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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of green hydrogen by use case. Beyond the economic feasibility, a particular focus of this position will lie on the evaluation of different development pathways when deploying green hydrogen infrastructure
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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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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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. • 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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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