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leftward flow in the left–right organizer (LRO), but the identity and mechanism of the flow-transported symmetry-breaking cue has long remained elusive. Defects in this process are a major cause of
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(e.g. Malik et al. Nat Genetics 2028; Mishra et al. Nature 2022) and subsequent findings from our lab showing that the stroke risk gene Foxf2 maintains brain endothelial cell function via Tie2 signaling
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these mechanisms, as they reca-pitulate key aspects of embryonic development and tissue morphogenesis in vitro. The group of Prof. Bausch investigates the physical principles underlying these emergent processes and
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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to the realisation of postdoctoral qualifications (Habilitation or equivalent) Job requirements: A successfully completed doctorate (PhD) in Political Science or a related field on commencement of employment
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(Habilitation or equivalent) Job requirements: A successfully completed doctorate (PhD) in Political Science or a related field on commencement of employment An envisioned research project that fits the above
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19.07.2022, Academic staff 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 deep
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understanding of the processes determing grasslands productivity, nutrient cycling and those leading to grassland soil degradation. • Experience in conducting experiments (field and laboratory). Experience
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13.03.2023, Academic staff We are looking for motivated students to work on the development and implementation of a cheap and scalable ceramic processing concept towards a fully sprayed Li-based
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grasslands. What we expect from you • University degree (M.Sc.) and Ph.D. in Agricultural Science, Biology, Ecology, Environmental Science or a related field. • Thorough understanding of the processes