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to research this topic. Interest in laboratory work and basic technical understanding. Fluent written and spoken English. Programming skills in e.g. Python, R, Matlab and Java. Experience in image processing
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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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for calculation and design Design and optimization of a flexible oxygen supply Optimization of the pilot plant based on test and simulation results Development of design and process engineering solutions
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, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks Requirements: excellent university degree (master or comparable) in computer engineering or electrical
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therefore teams up materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH ( AMO ) in Aachen, Forschungszentrum Jülich
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Degree PhD (Dr-Ing or Dr rer nat) Doctoral degree or degree awarded by Ruhr University Bochum or University Duisburg-Essen Course location Düsseldorf In cooperation with Max-Planck-Institut für
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in cooperation with the HECTOR School of Engineering and Management, the Technology Business School of the KIT. There is also an optional MBA Fundamentals programme, which is free for KSOP PhD students
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imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image processing) analyzing experimental results; developing conceptual models and
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of one of the two annual PhD selection processes may begin doctoral work at any time during the following six months (usually 1 September of the same year and 1 March of the following year). The duration
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processing, algorithm design, optimisation and simulation, software engineering and automation and control systems. An overview of the current PhD research projects is given here: https://www.dashh.org