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(24 months) but can be renewed for (up to) an additional year. The start date is May 15th, 2026 - or soon thereafter. The postdoctoral fellow will conduct research on learning theory problems related
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denotational semantics, abstract machines, as well as string diagrams and graph rewriting. Some knowledge of category theory would be useful but not essential. Being able to formalise the frameworks and
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skills. Experience coding and analyzing video data. Experience coding and analyzing language data. Experience conducting classroom observations in preschool or kindergarten settings. Expertise in advanced
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, or using high-resolution particle codes and/or N-body codes in topics of planetary geophysics or astrophysics Sufficient programming experience to handle large-scale numerical modeling and analysis, and
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have an established record running SPH simulations of planetary collisions, or using high-resolution particle codes and/or N-body codes in topics of planetary geophysics or astrophysics Sufficient
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Organization U.S. Department of Defense (DOD) Reference Code AFIT-2026-0010 How to Apply Click on Apply at the bottom of the opportunity to start your application. Description The Air Force
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researchers in law, social sciences, environmental studies, technology studies, and critical theory, in close collaboration with Nordic and international partners. The successful candidate will: conduct
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Einsteins theory of General Relativity on cosmological scales. The data it will collect will consist of locations of tens of millions of galaxies with accurate spectroscopic redshifts together with billions
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, relevant theory and methods and timeline. The proposal must include a paragraph declaring if and how AI was used in the development of the proposal. Applicants are expected to be able to complete the project
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positive attitude and drive for learning skills, methods and theory Ability to work in a structured manner, facilitating teamwork Ability to prioritize and complete work tasks Employment in the position is