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Field
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 22 hours ago
domains of population research by combining the methods and perspectives of computational sciences, social and behavioral sciences, and statistics. The field has emerged in parallel with rapid technological
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, enrolled in a Bachelor’s or Master’s program in economics, finance, data science, or a related field. Comfortable using Stata or Python/R (or other analytical tools). Detail-oriented, methodical and able
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Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Leibniz Institute on Aging – Fritz Lipmann Institute (FLI) in Jena is a federal
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Positions Country Germany Application Deadline 30 Sep 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 39 Is the job funded through the EU Research Framework Programme? Not
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 3 days ago
computational demography is a growing interdisciplinary field that tackles fundamental questions across all domains of population research by combining the methods and perspectives of computational sciences
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documentation. - Supporting the team in preparing and implementing various informed machine learning models for benchmarking and analysis. Desirable: - Currently enrolled in a Bachelor's or Master's program in
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Technomathematics, computer science, engineering, physics, mathematics or natural science or equivalent degree Very good knowledge of techniques and methods of computer-aided sciences Knowledge and experience in
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, or communications engineering You have experience with Python, LabView or Julia programming languages and their development environments Experience with optical design and/or CAD software is a plus You
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Science Center. As a leading German management school, we create real impact through relevant research with strong ties to industry. Our supportive environment encourages scholars at all stages
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/d) in Energy Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and