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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods
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competent in research design and advanced statistical analyses, and have strong writing and communication skills. Preferences will be given to candidates who are passionate about gender-related issues and
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. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting
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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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must hold a PhD in social psychology or a closely related field, with no more than five years post receipt of the PhD, be competent in research design and advanced statistical analyses, and have strong
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analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB. Experience using GIS, side-scan sonar, multibeam bathymetry, underwater imagery, remote sensing
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analyses and developing habitat maps using marine datasets. Applicants should possess strong analytical skills and experience with spatial modelling and statistical software such as R, Python, or MATLAB
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chemistry, particularly in the area of statistical mechanics with excellent verbal and written communication skills, and excellent record of research accomplishments. Experience with modern sampling
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. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management
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, and analyzing these data using advanced statistical models and visualization techniques. The job also emphasizes the dissemination of knowledge about population health, particularly through