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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 hours ago
of the following disciplines: computational (bio)physics, structural biology, statistical mechanics, and scientific computing. They hold (or expect to complete soon) a Master’s or equivalent degree in any
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, such as statistical AI (machine learning), symbolic AI (knowledge graphs, reasoning), and human computation (crowdsourcing). By analyzing empirical evidence of human interactions with data and systems, we
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. Skills and personal qualities The candidate must hold a degree in computer science, statistics, mathematics, health data science or related disciplines. Documented experience of data science is required
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. The candidate should ideally have some previous experience or education in epidemiology and quantitative data analysis. Demonstrable advanced skills and expertise in statistic programming software as R
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sampling, arc-boat surveys, electric fishing, fish telemetry, statistical analysis (e.g R), GIS and technical writing. We are looking for a dedicated person with a background in environmental science related
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motivated and eager to work on evolutionary and biological problems and to learn about the use and development of computational, statistical and machine learning approaches. The Group Cancer is a genetic
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, Data Science, Bioinformatics, or related fields. Familiarity with basic concepts of statistical analysis is required. Strong programming skills in Python, R and Linux-based software or similar languages
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Statistical results of empirical studies in the behavioral and social sciences have repeatedly been shown to be reported in a suboptimal way. This PhD project seeks to understand why applied
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the participating persons Smart individual and statistical analyses by processing, compiling, and correlating the objective measurement data with the subjective human perceptions must generate warning alarms and
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of Dutch; interest in working on interdisciplinary topics, in interdisciplinary teams. Candidates, who have: software engineering skills quantitative skills, including survey development, statistical