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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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PhD Position (m/f/d) - Atomic Layer Deposition (ALD) of transition metals for biomedical application
metals for biomedical application. We are seeking a highly motivated Ph.D. candidate (m/f/d) to work on the Atomic Layer Dep-osition (ALD) of transition metals for biomedical applications. The well-defined
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assistant for a PhD in the field of AI for processing and analyzing text-based data in education Full-time, temporary for 3 years, salary according to EG 13 of the collective agreement for the public service
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Association. At the Leibniz Institute on Aging – Fritz Lipmann Institute (FLI), we investigate the fundamental biological processes that drive aging. Our research combines molecular, cellular, and systems-level
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PhD Student (f/m/d) position at Leibniz Institute of Virology The Leibniz Institute of Virology (LIV) is an independent research institution for basic biomedical research. LIV is committed
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. The Department Cellular Neuroscience of Prof. Dr. Stefan Remy in association with the Research
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piezoelectric effect to design redox responsive systems for biomedical applications. Your profile Completed studies (M.Sc. or comparable) in organic chemistry, polymer chemistry, catalysis chemistry or materials
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. Alexander Ecker (Institute of Computer Sciences, University of Göttingen). Candidate profile We are looking for a highly motivated candidate with: A strong background in animal behavior, behavioral ecology
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is available immediately, a later starting point is also possible. YOUR TASKS Perform molecular biology techniques, specifically molecular cloning techniques (e.g., Gibson assembly, restriction enzyme
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atmospheric aerosol particles, their interactions with clouds and turbulence, and cloud microphysics. The focus is on both process-based studies and long-term observations, with which we contribute