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spectrometry (GC-MS), electro-antennographic detection (EAD), RNAi knockdowns, and behavioral olfactometer assays—to elucidate how divergence in CHC perception has potentially contributed to prezygotic
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will be responsible for developing solutions in terms of methodology (theory) and implementation (application) of the new approach. Coordination of the cooperation with the project partners Publication
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collaborative research projects, which deal with the development of optimization methods for geothermal systems. You will be responsible for developing solutions in terms of methodology (theory) and
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: katja.kowalski@tum.de . You can also find out more about us at: https://www.lss.ls.tum.de/eoem The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally
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nearly every disease leaves detectable traces in an individual’s metabolic profile. Nuclear Magnetic Resonance (NMR) spectroscopy of blood offers deep insights into an individual's metabolic state. Despite
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and used to predict the development of damage. Based on this, a new maintenance strategy is to be developed that is based on the physical relationships and thus enables better consideration of critical
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of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your application you confirm to have read and understood the data protection information provided by TUM. Find out
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working environment in a friendly and committed team. Renumeration according to pay group E13 (TV-L). Strong contact to industrial partners. General advantages of the Munich metropolitan region in terms
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of these networks - but how well they perform this task depends on the architecture of the network. We want to discover the physical principles of how vein networks self-organize their architecture - encoded by
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detection. One highly promising direction NV-based nano- and microscale nuclear magnetic resonance (NMR) spectroscopy. In our lab, this quantum sensor based NMR spectroscocopy is applied to life sciences as