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. Qualifications The applicants should possess: an excellent or very-good university degree in economics, business studies, agricultural sciences with a focus in economics, or related disciplines strong analytical
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one of 96 research and infrastructure facilities of the Leibniz Association. The DPZ’s Primate Data Science (PRIDAS) platform seeks to fill several positions for PhD Candidates in Data Science (m/f
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, agricultural sciences with a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a
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, excellent quantitative analytical and statistical as well as communication skills are required. Working enviroment Apart from working closely with colleagues at the Kiel Institute and within the Leibniz
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laboratory is required Knowledge of handling radioactive materials and radiochemical methods is an advantage Excellent knowledge of a broad range of microbiological, chemical and analytical methods
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machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g
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and data analytics (including machine learning and deep learning); from high-performance computing to high-performance analytics; from data integration to data-related topics such as uncertainty
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complex materials with tailored properties using high-throughput simulations, data analytics, and material characterization. Benefit from strong connections to top research infrastructures like the Jülich
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of Andreas Schlundt (Chair of Analytical Biochemistry) located at the University of Greifswald. Greifswald is a small, beautiful, and affordable university city at the shores of the Baltic Sea in the North of
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on newly developed material candidates Planning and conducting thermal aging experiments Characterization of materials in the initial state and after irradiation/aging using analytical (scanning