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is expected. Background Information: Nat. Chem. 2015, 7, 105; Chem. Eur. J. 2019, 25, 4590; Angew. Chem. Int. Ed. 2019, 58, 418; Nanoscale 2021, 13, 19884. www.sengegroup.eu https://www.ias.tum.de
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20.07.2023, Academic staff The Chair of Materials Engineering of Additive Manufacturing is looking for a full-time applicant as Wissenschaftliche/n Mitarbeiter/in (m/f/d) Founded in 2019, the new
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are neither energy-efficient nor cost- effective. Realization and optimization of affordable, low-power gas sensors is a significant step towards battling climate and environmental challenges, transforming
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the next 6 months are welcomed. • Very good knowledge in statistics and, preferably, bioinformatics; esp. in hypothesis testing, power analysis, experimental design, regression, statistical software
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Freising, Germany Tel. +49 8161 71 3961 patrick.bienert@tum.de https://www.mls.ls.tum.de/en/cropphys/home/ www.tum.de The position is suitable for disabled persons. Disabled applicants will be given
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systems with more than two energy levels (qudits) Scaling compilation approaches to utilize the processing power of parallel systems/supercomputers To learn more about our previous work, please check out
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03.08.2022, Academic staff The Bavarian Center for Biomolecular Mass Spectrometry (BayBioMS) is a science and technology platform of TUM providing state-of-the-art proteomics, metabolomics and
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Manufacturing is part of the TUM School of Engineering and Design and com-bines basic research with the application in order to shape the still young additive manufacturing environment. We are seeking for a
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Manufacturing is part of the TUM School of Engineering and Design and com-bines basic research with the application in order to shape the still young Additive Manufacturing environment. We are seeking for a
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) methods. Experience in handling remote sensing data is a plus Very good programming skills (Python) Very good communication skills (oral and written) in English Ability to work in a highly interdisciplinary