174 computer-science-programming-languages-"St"-"ST"-"UNIVERSITÄT-DUISBURG-ESSEN" positions at Leibniz in Germany
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, interdisciplinary teams, value diversity of thought, and enjoy the freedom to explore novel ideas. You communicate fluently in English, both orally and in writing. We Offer: Access to an international network
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data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using programming languages like R, and/or Python. You have excellent
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The Leibniz Institute for Agricultural Engineering and Bioeconomy is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food, industrial
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, biochemistry, nutrition and biomedicine, or related fields Ability to work independently and carefully in a wet chemistry lab High level of commitment and strong academic achievement Good English skills What we
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new working group acquisition of third-party funding and supervision of early career researchers. Qualifications The successful candidate will have a Ph.D. in agricultural sciences, landscape or spatial
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initially for three years. The fixed term of employment is in accordance with Section 2 subsection 1 of the German Act on Fixed-Term Employment Contracts in Science and Academia
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analysis, visualization, and training Participation in the central research data management of the IAT according to open science and FAIR principles Promotion of open science and research data management
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(MPPT). Your profile: We are looking for motivated individuals (m/f/div) with a Ph.D. degree in Electrical Engineering, Materials Science, Physics, or a related field. Candidates should have a proven
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-based fixed term until 30.06.2028 Remuneration: collective agreement of the German Länder, TV-L E 13 Founded in 1817, the Senckenberg Gesellschaft für Naturforschung (SGN) is one of the world’s major
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natural sciences expertise in materials science and materials engineering, in particular methods of computational material science (e.g. DFT, CALPHAD) programming skills, e.g. Python basic knowledge of data