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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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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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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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partner and support the overall scientific goals of the project. YOUR PROFILE Master’s degree in chemistry, materials science, energy materials, or a related field. Experience with lithium-ion batteries and
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or medical-technical assistant or comparable qualification. Professional laboratory experience in molecular biology including next-generation sequencing; very good knowledge of German and English
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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 International Continental Scientific Drilling Program (ICDP) and aiming to study the icehouse–hothouse transition during the Permian (299–252 million years ago) and extreme continental climate states. Key
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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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Master’s Student (m/f/d) – Thesis The Leibniz Institute for Food Systems Biology at the Technical University of Munich (LeibnizLSB@TUM), a legal foundation under civil law based in Freising, is a
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scientific results in (high impact) journals with a peer-reviewed process Requirements: The ideal candidate holds a PhD in Bioinformatics / Computational Systems Biology or a closely related scientific discipline