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The TRR404 "Next Generation Electronics With Active Devices in Three Dimensions [Active-3D]" is a Collaborative Research Center/Transregio between TUD Dresden University of Technology and Rheinisch
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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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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets
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to evolve for high stereospecificity for producing valuable organic compounds. Your profile: Eligible candidates have strong skills in (bio‑)chemistry, biocatalysis, and microbial engineering and have great
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, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer
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of future applications from the fields of structural lightweight construction, energy research and medical technology. The experimental development is closely accompanied by modelling approaches and
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and international
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/2025.03.02.641062 Your Profile The successful applicant should hold a master's degree or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological
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communication skills and ability to work in an interdisciplinary team with scientists, engineers, and technicians For further questions please contact Dr. Jeff Carpenter (jeff.carpenter@hereon.de). We offer