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Field
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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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., probability, analysis), eager to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves
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., probability, analysis), eager to conduct cutting edge research in the field of uncertainty quantification, in particular the theory and methods known as predictive Bayes. Predictive Bayes theory involves
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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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(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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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 programming
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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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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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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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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