214 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Postdoctoral positions in Germany
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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to create energy-efficient applications within the ERC Synergy scheme DNA for Reconfigurable Nano-Opto-Mechanical Systems, DNA4RENOMS. Where to apply Website https://www.cens.lmu.de/en/support/career-at-cens
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to apply Website https://www.cens.lmu.de/en/support/career-at-cens/#st_img_text__master_1 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Requirements
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social or behavioral sciences (incl. human-computer interactions with relevant experience). Applicants must demonstrate experience in experimental work with human participants; possess versatile
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Website https://www.qu.uni-hamburg.de/cluster/jobs.html Requirements Additional Information Work Location(s) Number of offers available20Company/InstituteUniversity of HamburgCountryGermanyCityHamburgPostal
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(https://www.physik.fu-berlin.de/en/forschung/dahlem-center-for-complex-quantum-systems/index.html ). The research focus of the Dahlem Center is quantum theoretical solid state physics in its entire range
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Postdoctoral Position (m/f/d) in Experimental Bio-Spectro-Electrochemistry at the University of Bonn
available1Company/InstituteUniversity of BonnCountryGermanyGeofield Contact City Bonn Website https://kielb-lab.com/ Street Wegelerstr. 12 Postal Code 53115 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn
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. Fluency in both written and spoken English is required. The researcher should show eagerness to learn new skills and apply established ones. Our offer We are offering excellent working conditions in a
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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
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-XRF, Raman, FTIR in reflection mode) to enable multimodal data fusion and automated material characterization. • Apply and further develop machine-learning and statistical models (e.g. PCA, SAM