70 post-doc-image-processing PhD positions at Technical University of Munich in Germany
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Materials” concentrates on the understanding of structure-performance indicators in electrocatalytic reactions. Our catalysts are the heart of sustainable energy conversion processes such as in hydrogen fuel
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Chair of Biological Imaging 11.07.2023, Wissenschaftliches Personal We now seek a highly qualified and motivated PhD student (f/m/d) to design, develop, and test novel optoacoustic sensing platforms
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skills in English. If you fit this profile, like challenging tasks, and are passionate about research, then we would love to hear from you. To apply, please send a detailed curriculum vitae, grade
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/insect research, and ideally with experience in fieldwork and chemical analyses. Please send any inquiries to Sara Leonhardt (sara.leonhardt@tum.de) and your application via eMail to Cornelia Wenske
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for the position, a CV, degree certificates, and a writing sample, and name two people as references whom we could contact. Please submit all documents in one PDF-File by 20 April 2025 by e-mail with the subject
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responses of mature beech and spruce to experimentally induced drought. Your task will be to elucidate key ecophysiological processes (e.g. xylem sap flow, stomatal conductance, resource allocation between
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working in interdisciplinary and international teams and have image processing or image analysis skills. In addition, you are able to express yourself confidently both orally and in writing in English. What
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encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by in-tegration into TUM’s School of Life Sciences or School of Management and participation in the related Graduate School
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matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams
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to study translational aspects of cancer (single-cell sequencing of immune cells, organoid co-cultures, cellular engineering via CRISPR/Cas9 technology, in vivo imaging, advanced animal models of allo-SCT