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Degree Dr rer nat Course location München In cooperation with Find out about the participating research groups here: https://www.lsm.bio.lmu.de/faculty/current-members/index.html Teaching language
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-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications are possible throughout the year. For more information, please see: https
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devices Develop hardware-aware machine learning models incorporating electronic and optical device constraints Design and implement hardware-efficient training methodologies for machine learning systems
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Electronics, Faculty of Engineering). Objectives of the position: Develop a digital twin (DT) model of a wind turbine for impedance acquisition, considering its plant model, PWM stage and virtual control
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RPTU University Kaiserslautern-Landau • | Kaiserslautern, Rheinland Pfalz | Germany | about 12 hours ago
Education is part of the SFB/Transregio 185 (Bonn-Kaiserslautern) “Open System Control of Atomic and Photonic Matter” and is integrated in the strongly developed infrastructure of the two universities
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
development # Use an inline endoscope and an optical fiber Doppler probe (OFDP) to determine bubble surface loading as well as bubble size and velocity # Integrate and interpret measurement data to derive
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
39 hrs./week Neuherberg near Munich At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation
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through biochemical characterization, conduct inhibitor screenings, and develop selective chemical probes and inhibitors. Where to apply Website https://jobs.uni-jena.de/jobposting
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bacterial cellulose and evaluation of promising structures providing permanent colouration • develope low-emission processes for bacterial cellulose growth, including the adjustment of reaction parameters
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faculty at the Max Planck Society and at Oxford University cover all major areas in Computer Science. For more information about the research interests of individual faculty, please visit: http://cis.mpg.de