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are looking for: A motivated candidate with a strong academic track record and a degree in Materials engineering, Physics engineering, Materials chemistry, or a related field in Science and Engineering. A
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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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tools, vaccines, diagnostics, and biopharmaceuticals. The research at CMB pushes the boundaries of biomolecular and bioinformatics research and engineering technologies. VIB.AI studies fundamental
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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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degree with an academic level equivalent to a two-year master's degree. You should have a degree in chemistry or chemical engineering and a very strong background in experimental organic chemistry
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of microbiology and laboratory automation. We are looking for a highly motivated PhD candidate with a strong engineering mindset and a keen interest in AI, automation and microbiology. Prior experience in
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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