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Location: Stanford, USA; Heidelberg, Germany; or remote The team led by Pascal Geldsetzer at Stanford University is looking for a talented researcher with experience in causal inference (e.g
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Machine Learning Seminar Group Advanced Tutorial Lecture Series on Machine Learning Non-Parametric Bayes Tutorial Course (October 9, 16 and 28, 2008) Bayesian statistics in other labs Machine Learning and
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doctoral degree (or submitted PhD thesis) in Social Sciences (Political Science, International Relations, Sociology, or Economics and related Disciplines) or History Emerging track record of publications in
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experience and skills in cognitive computational modeling; Demonstrate a strong research track record, for example through peer-reviewed publications and/or third-party funding experience; Prior experience in
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super-resolution microscopy (e.g. STED, SIM) or single-molecule tracking - knowledge of a scripting language or data analysis tools (e.g. Python, R, or similar) What we offer: - a modern
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; demonstrate a strong research track record, for example through peer-reviewed publications and/or third-party funding experience; prior experience in education research is not required. However, the successful
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- Advanced Understanding of Eye Gaze in Co-Located Collaborative Learning, which investigates co-located collaborative learning processes using mobile eye-tracking, video recordings, discourse data
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Alfried Krupp Wissenschaftskolleg Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | 2 months ago
and administrative duties. Scholars with a proven track record of outstanding achievement in research and teaching may apply for an Alfried Krupp Senior Fellowship. The Alfried Krupp Junior Fellowships
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connecting these data to our imaging, biomarker, and intervention work. CAAN’s current scientific priorities include: (1) tracking autonomic trajectories from age 20–60 and identifying their causes and
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new quantitative methods. Proficient programming and data-wrangling skills (e.g., R, Python) for building analysis pipelines on complex, multi-wave datasets. A track record of first-author scholarly