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for Environmental Medicine led by JProf. Staerk at the IUF (Düsseldorf, Germany) is hiring a Postdoctoral Researcher (f/m/d) in the area of Biostatistics and Statistical Learning Our group focuses on the development
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). The institute also maintains locations in Dedelow and Paulinenaue. The in-house project CRoP-SMART (Comprehensive Research on Crop Performance: Statistical Methods for Agricultural Research and Technology) will
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relevant experience with polymer composites and polymer chemistry Knowledge of programming and statistics is desirable What we offer: Collaboration with national, international and multidisciplinary teams
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 1 day ago
the evolution of numeral systems Selection criteria A PhD in linguistics, cognitive science, evolutionary biology, computer science, statistics, anthropology, or related field with an outstanding academic record
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Max Planck Institute for Evolutionary Anthropology, Leipzig | Leipzig, Sachsen | Germany | 3 days ago
the evolution of numeral systems Selection criteria A PhD in linguistics, cognitive science, evolutionary biology, computer science, statistics, anthropology, or related field with an outstanding academic record
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Statistical Physics and the theory of stochastic processes, large-scale stochastic simulations of recurrent networks requirements: master of physics specialization in theoretical physics or computational
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and Systems Biology develop and apply novel machine learning algorithms to detect patterns and statistical dependencies in large datasets from biology and medicine. Machine learning on graphs, machine
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, use-wear analysis, and controlled experiments. This combination of data requires a statistical tool for a transparent and reproducible workflow for data analysis and data modeling. By providing a
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Economics, Economics, Data Sciences, Psychology, Statistics or a related field Evidence of research activity (publications) and/or future scholarly output (working papers, etc.) Proven interest in topics
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) methods, • with knowledge of statistics and ideally machine learning techniques (e.g., Natural Language Processing) and • excellent organizational and oral/written communications skills (command