67 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" uni jobs at Leibniz
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Naturkunde will realise its plan for the future. New laboratories and jobs for cutting-edge research will be created. At the same time, one of the world's most comprehensive natural history collections with
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on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is November 17, 2025. Please apply via our applicant portal
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, and research-based public and educational work. Over the next ten years, the Museum für Naturkunde will realise its plan for the future. New laboratories and jobs for cutting-edge research will be
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current medium-term research program (starting in 2026) focuses on the analysis of spatial formations in times of geopolitical and geoeconomic upheaval, everyday negotiations of the local in the context
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PhD program Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Remuneration according to TV-L, level 13 (65 %), plus annual special
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contexts beyond Palestine/Israel. It is expected to be funded under the Leibniz Cooperative Excellence program beginning in January 2026. Within the project’s framework, the DI is seeking to fill the
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collaboration with cooperating institutions and enrolment in a local PhD program Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Remuneration
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and assess their applicability in coastal environments. The position will be based in the ZMT’s program area (PA2) Impacts of Global Change and Adaptation and will actively contribute to its objectives
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programme Generous support for your pension provision as a direct insurance policy Promotion of your skills through further training measures Contact For further information concerning the tasks please
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related field Demonstrated experience in geospatial analysis (GIS) and proven skills in hydrogeological or hydrological modeling Proficiency in programming (e.g., Python) Ability to handle large datasets