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to Biodiversity Exploratories, a renowned large scale experiment maintained by a large group of internationally renowned scientists, associated PhD students and Postdocs. • Free access to transferable skill and
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to be developed. One promising research direction is the use of physics-informed deep learning, such as physics-informed neural networks or deep neural operator networks. Tasks: Work in a team on national
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(MCQST) is inviting applications for a Ph.D. or postdoctoral position. In recent years, spin defects in diamonds have been shown to act as atomic-sized sensors for nanoscale- microscopic magnetic field
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personal profile, potential tasks include but are not limited to: - Development of a recirculation system for culture medium in a perfusion bioreactor system - Implementation of process control, soft sensor
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normal physiology and autoimmunity in collaboration with project partners • elucidate the transcriptional networks regulated by FoxP3 and c-Rel in Treg cells and screen for novel critical regulators
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, education, and policy. The Institute works on an interdisciplinary basis and is highly networked both nationally and internationally. About the position The Chair for Ethics of Artificial Intelligence and
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networks self-organize their architecture. We are looking for a PhD student (m/f) to join our team at the TUM. Task Flow networks are a fundamental building block of life. Transport by flow is the main task
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embedded in the outstanding scientific environment of the Beutenberg Campus, in particular the LPI, providing state-of-the-art research facilities and a highly integrative network of life science groups
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duration Payment is according to the wage agreement of the civil service TV-L, 65% of E13 for PhD student positions and 100% of E13 for Postdoc positions. Please note that there are no additional
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high-dimensional single-cell analysis and within the LPI network (scRNAseq, spectral flow cytometry) to translate fundamental insights into translational applications for human health and disease. We