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(scRNAseq, spectral flow cytometry) to translate fundamental insights into translational applications for human health and disease. We are seeking highly motivated candidates that are interested
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21.05.2024, Wissenschaftliches Personal Topic: Dissecting the body-wide spatio-temporal organisation of human resident T helper cells Current immunomodulatory drugs act systemically, but lack tissue
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organs from mice. • Expertise in Flow Cytometry, particularly in multi-color FACS staining and cell population analysis. • Experience/Interest in single cell RNA sequencing experiments. • Excellent
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stability assessment of novel catalysts by electrochemical flow cell measurements that will be coupled to on-line analytics (c.f. https://www.nature.com/articles/s41563-019-0555-5). Specifically, an in-house
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29.09.2022, Wissenschaftliches Personal Join the team of Prof. Karen Alim at the TUM Campus Garching to investigate how blood vessels self-organize their network to reach uniform blood flow within
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06.06.2022, Wissenschaftliches Personal Join the team of Prof. Karen Alim at the TUM Campus Garching to investigate how blood vessels self-organize their network to reach homogeneity in blood flow
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information flow. Understanding these attributes is critical for the responsible application of such models to medical settings. Your Qualifications: - Holding an excellent MSc in the field of pure or applied
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benefits. The initial appointment is for a period of two years and can be renewed for another two years. The successful candidate should have a Master's degree in computer science or mathematics. Since
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100%, 3 years) on DNA data storage. The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on