23 computer-science-image-processing-"Multiple"-"Embry-Riddle-Aeronautical-University" positions in Germany
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Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
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would like to commit themselves, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Communication Technology
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of Schleswig-Holstein (10 %) and is one of the internationally leading institutions in the field of marine sciences. Through our research and our commitment to the transfer of knowledge and technology, we
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Field of study: computer science, mathematics, software design, software engineering, technical computer science or comparable. Machine Learning (ML) models are reaching a maturity level that allows
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of Schleswig-Holstein (10 %) and is one of the internationally leading institutions in the field of marine sciences. Through our research and our commitment to the transfer of knowledge and technology, we
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Chair of Biological Imaging 26.05.2025, Wissenschaftliches Personal We now seek a highly qualified and motivated Science manager (f/m/d) to support our ongoing third-party projects and the
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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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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 1 month ago
Scientific university degree in neuroscience, psychology, biomedicine, computer science or a related field Experience with imaging procedures (e.g. MRI, fMRI pre-processing) Thorough knowledge of data
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL