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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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al. Nature Genetics 2020, Costea et al. and Schoeberl et al., Mol Cell 2023, Mol Cell 2025). For a list of ongoing projects and publications, please visit: https://www.kcl.ac.uk/research/pavri-group
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(for example, efficient sampling from the Gibbs measure, Markov Chain Monte Carlo methods, etc.). Experience in distributed or parallel computing is a plus, but is not a requirement. The position does not
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appropriate statistical methods, contribute to scientific publications, project reports, presentations and other communication of research results, participate in project meetings and collaborate with academic
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and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern
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iCRAG petrologists, geochemists, geophysicists, sedimentologists, and company geologists, the candidate will contribute to the development of a high-powered methods and playbooks for exploring varied
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condensed matter surfaces and interfaces using X-ray reflectivity (XRR), grazing-incidence wide- and small-angle scattering (GIWAXS and GISAXS), and complementary methods such as X-ray fluorescence (XRF) and
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17 Jul 2026 Job Information Organisation/Company Ivo Pilar Institute of Social Sciences Research Field Psychological sciences » Psychology Researcher Profile Recognised Researcher (R2) Positions PhD
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written English skills (B2 level or equivalent, certified), ability to read, understand, and write in scientific English. 7. Knowledge and ability to operate computer software. 8. Analytical thinking
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application! Work assignments You will join the research project Countering Bias in AI Methods in the Social Sciences, a collaboration between the Institute for Analytical Sociology (IAS) at Linköping