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with neuroimaging software (e.g., SPM, AFNI, FSL). Familiar with coding (e.g., in R, MATLAB, Python). Experience with research project management. Experience with supervising research staff and students
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or the adaptation of existing tools and techniques for spatio-temporal analytics, such as representation, exploratory visualization and theories and mathematical model development of spatio-temporal data. Support
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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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understand new problems, concepts, and theories Ability to communicate academic content in a structured and professional manner Emphasis will be placed on personal suitability. It is important to OsloMet
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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