173 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "U.S" positions at Nature Careers in Germany
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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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, biological processes for plastic recycling. The research is expected to make use of methods from metabolic engineering, synthetic biology, and adaptive laboratory evolution, as well as automation opportunities
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presentation of results Your profile: Masters, Diploma or equivalent degree in in a scientific field (e.g. biology, chemistry, physics) or related subject (i.e. Pharmacy, Food Technology) Experience in a
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and Individualized Medicine ; https://curatime.org/ ) a Clusters4Future initiative funded by the German Federal Ministry of Research, Technology and Space (BMFTR), integrating RNA technologies
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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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The Faculty of Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) invites applications for an Assistant Professor of Machine Learning in Digital Health (salary group W1
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Student or Postdoc (f/m/d) for the project Theory and Algorithms for Structure Determination from Single Molecule X‑Ray Scattering Images Project description Single molecule X‑ray scattering experiments
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Research Associate Development & application of wire-mesh sensors for thermohydraulic test facilitie
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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exclusively in electronic form and in accordance with the “Applicant Guideline Template” and the “Applicant Form” of the Medical Faculty Mannheim for W3 professorships (see https://www.umm.uni-heidelberg.de
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science/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