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completed formal master’s degree programs (or equivalent) qualifying for a PhD program in epidemiology, statistics, and prevention and implementation science, or to have completed such a program by October 1
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University degree in data science, computer science, information science, computational ecology, statistics, or equivalent Competence in Python, R or other relevant programming languages (knowledge of LabView
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on marine research. As part of a joint appointment procedure (§ 20 of the BremHG), the position of Head of Program Area III "Communication of Marine-Related Sciences" at the German Maritime Museum | Leibniz
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of the PhD programs at the University of Göttingen (see www.gauss.uni-goettingen.de ). The project is highly collaborative and will benefit from working with experts in computer and data sciences, behavioral
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master's or diploma degree in computer science or mathematics already successfully completed doctorate confident demeanor and proficient use of German and English (both equivalent to at least B2) expertise
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, computer science, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in Dortmund, we
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the Research Group “ Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is assigned to the research project "Randomization of Surrogates
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, or green technologies We expect Master’s degree in agricultural economics, environmental/resource economics, industrial engineering, business informatics, or a related field Demonstrated interest in agent
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. The successful candidate will receive careful mentorship both from the supervisor and from other peers through a dedicated mentorship program. Technical queries should be directed to Benedikt Jahnel
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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