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Max Planck Institute for Biological Intelligence (Martinsried site), Martinsried | Germany | 2 months ago
holistically – ecologically, economically and socially. What you bring to the table Scientific or structural engineering background: Degree in natural sciences with several years of laboratory experience or a
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on the campus of Forschungszentrum Jülich. Your tasks include in detail: Construction and commissioning of a new test stand for the investigation of the continuous butanediol dehydrogenation under dynamic
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engineering Medical sciences » Cancer research Pharmacological sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 25 Jan 2026 - 22:00
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Student Assistant (m/f/d) - Integration of 5-Finger Robotic Hand in Robotic Applications (Heilbronn)
, technology management, industrial engineering or comparable. Intrinsic Flowstate (https://www.intrinsic.ai/flowstate) is an intuitive web-based software development environment designed for creating
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master`s degree in natural sciences, engineering or information technology, preferably with a PhD Experience with the structures of the EUROfusion consortium is advantageous Experience in the field
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, computer science, physics, material science, earth science, life science, engineering, or a related field Proficiency in at least one programming language (Python, R, C++, Julia, …) Good analytical skills with a
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Description 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, it is a globally
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processes based on CO2 and other carbon-rich waste streams enable net-zero CO2-conversions into valuable chemicals. This project aims to design, integrate and optimize metabolic pathways in an engineered C
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Description 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
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, you will be an active member of the SDL “Fluids & Solids Engineering” and will collaborate strongly with the SDL “Applied Machine Learning”. You will have the following tasks: You will work together