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positive evaluation. Data Steward (m/f/d) The Leibniz Institute for Surface Engineering (IOM) is researching new functional and precision surfaces for applications of high societal relevance and emerging
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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To improve the website, the DAAD and third parties set cookies and process usage data . In doing so, the DAAD and third parties transfer usage data to third countries in which there is no level
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spectrometry. ProteomicsDB (https://www.proteomicsdb.org/) is an internationally well-reputed publicly available database that provides information about proteins and other bio-molecules initially centered
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information on the project is available at: https://www.fz-juelich.de/ibi/ibi-3/EN/Research/Neuroelectronics/ImplantableElectronics/_node.html In addition to exciting tasks and a collegial working environment
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reciprocal suitability, severely-disabled applicants as defined in SGB IX will be preferred. For further information, please contact Ms. Arya Das at a.das.leibniz-lsb(at)tum.de . To apply, please submit your
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Technology: Professorship Measurement and Sensor Technology Further information Technische Universität Dresden Faculty of Electrical and Computer Engineering Faculty of Computer Science Faculty of Mechanical Science and
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suitability, severely-disabled applicants as defined in SGB IX will be preferred. For further information, please contact Ms. Arya Das at a.das.leibniz-lsb(at)tum.de . To apply, please submit your CV, letter of
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epidemiologist/statistician with experience in designing epidemiological studies and analysing data to join our team and add their complementary skills. The applicant will be based in Hamburg, Germany, and must be
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mesoscopic and microscopic imaging. • Contribute to real-time software development for system control, data acquisition, multimodal image reconstruction, and quantitative analysis workflows. • Collaborate