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experiments; collecting, processing and analysing eye-tracking and pupil data; contributing to the development of new experimental paradigms for studying attention; collaborating with PhD candidates and other
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PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest in engaging and collaborating with
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) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science, Computer
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems Requirements: PhD in Mathematics, Computer Science
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
analysis methods. You'll join an interdisciplinary team of currently four PhD students, three postdocs (including this position), and four senior scientists, supported by technical staff (workshop
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must have a PhD in Mechanical Engineering, Biomedical Engineering, or a closely related field. This position is on campus, in person. The Division of Applied Biomedical Engineering consists of 5 faculty
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students. YOUR TASKS Our research at BogaertsLab focuses on the cognitive science of learning and language. This position is part of the FWO-funded project “Growing a Statistical Mind: The Interplay Between
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-doctoral Fellow should possess a PhD degree or equivalent in Social Science, Psychology, Public Health or other related disciplines with at least 2 years of post-bachelor’s work experience. Previous work
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finfish feeding trials, collecting data on growth performance (SGR, DGC), feed conversion ratio (FCR), survival, and tissue accumulation of heavy metals. Conduct statistical analyses of feeding trial data
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. The successful candidate will also apply statistical modeling for mechanistic inference and conduct biogeographic and geospatial analyses of microbiomes. This position involves collaborating with scientists and