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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. The IFW supports
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD diversity is an essential
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is funded by the German Ministry of Research, Technology and Space in the scope of the Fusion 2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition
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Engineering, Physiology and Therapy of Hearing “Auditory Sciences” is a structured PhD programme that is integrated in the “Joint Research Academy in Biomedical Engineering and Science of Hearing and Sensory
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | about 3 hours 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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engineering, and materials science. The three-year PhD programme includes independent research work in a project involving different branches of science and engineering, and a well-structured scientific
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The Children’s University of Tübingen Neuroscience student lab Demokratie Zukunftsfest Careers Back Job vacancies IT & Library / Technology & Maintenance / Administration Professorships Postdocs, assistant
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biomedical engineering, bioinformatics, biotechnology, molecular imaging and biomaterials. Training within the RegSci PhD programme takes place across three levels: students carry out their own research
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engineering, process engineering, chemistry or a comparable discipline Knowledge of hydrogen and energy research is an advantage High motivation to complete the doctorate within three years Very good
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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