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to different domains. Specifically, you will: Develop, implement, and refine Machine Learning (ML) techniques for self-supervised Deep Learning (DL) for scientific and large-scale datasets Implement parallel ML
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motivated team at Forschungszentrum Jülich, which is one of the largest and best-equipped research facilities in Europe You will have the opportunity to participate in project meetings and education events
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Jülich, which is one of the largest and best-equipped research facilities in Europe You will have the opportunity to participate in project meetings and education events organized in the frame
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of Cologne, Düsseldorf and Bonn A highly motivated group and an international and interdisciplinary working environment in one of the largest research institutions in Europe The possibility to develop your own
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Your Job: The German automotive industry can look back on more than a century of experience with fossil-fuel-powered drive trains. At present, however, the electrification of the drive train, which
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highly motivated group and an international and interdisciplinary working environment in one of the largest research institutions in Europe The possibility to develop your own research program in line with
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(demonstrated by e.g. teaching experience or supervising student work) Very good verbal and written communication skills in English Willingness to regular business trips within the Rhine-Ruhr area Our Offer: We
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(ML) algorithms with a strong focus on neural networks (NN) to create a versatile image processing tool as well as to develop new, advanced ML-supported imaging techniques. Your tasks in this exciting
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diurnal and seasonal dynamics of changes in canopy structure under agrivoltaics Deliver 3-dimensional data on plant canopies using commercial and experimental plant phenotyping methods and develop
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neural networks (NN) to create a versatile image processing tool as well as to develop new, advanced ML-supported imaging techniques. Your tasks in this exciting assignment: You will develop and code