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Description At the Leibniz Institute of Plant Biochemistry in the Department of Bioorganic Chemistry a position is available for a PhD in Machine Learning for Enzyme Design (m/f/d) (Salary group E13
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-end, low-temperature cooled Joule-class Yb:YLF amplifiers and novel broadband third-harmonic generation schemes. About your role: Laser development position Develop fibre or solid-state laser front-ends based on
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position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting as soon as possible. The position is initially
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availability of resources, in cooperation with Leipzig University eight positions as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary
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not be considered. The application procedure takes place in two stages: After you have created a personal account, you can begin to fill in the application form and you can upload your documents. It is
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October 2025, 00:00 CEWT, quoting the reference 2026-ALT-BerGSAS-GSSP. Late or incomplete applications will not be considered. The application procedure takes place in two stages: After you have created a
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heritage. Position details You will have the opportunity to participate in one of several available PhD programs, with three years funding, in collaboration with the University of Göttingen. Masters students
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management (if the personal requirements are fulfilled EG 13 TV-L) at first for a 3-year duration. The job offer is basically part time suitable. During the duration of the position, it is possible to strive
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the final, 4th, year of funding. Scholarship holders may pursue academic employment corresponding to a 25-percent part-time position, allowing further integration in the research context. Doctoral scholars
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%) The position is limited for three years. Description of the project The research group of Prof. Dr. Frank Schreiber at the University of Tübingen deals with the physics of molecular and biological materials