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mentorship in the career development of the student. The program language is English. We offer: a highly international research environment and state-of-the-art technology four years of full funding through
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, we translate biological insights into innovations for early detection, individualized therapies, and disease prevention. Founded in 1992, the Max Delbrück Center is home to a vibrant community of 1,800
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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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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | 1 day ago
neurosensory science, hearing research, communication technology and auditory rehabilitation within the Cluster of Excellence "Hearing4all". We provide a structured, three-year doctoral programme focusing
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Degree Doctorate Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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at conferences and in peer-reviewed journals Your Profile: Completed bachelor’s and master’s degrees (or equivalent) in Chemistry or a closely related field Strong oral and written communication skills in English
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(or equivalent) in Chemistry or a closely related field Strong oral and written communication skills in English (required) German language skills are desirable Interest in inorganic spectroscopy and metalloenzymes
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Skip to main navigation Skip to content Skip to footer Skip to search Uni A-Z Contact Search Search (via Ecosia) Search Search Login Login Login Form Login Language Choose language German English
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international and the language is English (oral and written communication). Contact Prof. Dr.-Ing. Andrea I. Schäfer, Institute for Advanced Membrane Technology (IAMT), +49 (0)721 608 26906