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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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well as industry partners. An extended research stay at an external institution is encouraged. The work can focus on more operational aspects or be more oriented towards theory, depending on the candidate's
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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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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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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
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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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(5-10 pages). The proposal must include the topic, 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
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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
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communication skills in English. Desired qualifications: Documented research experience in algebraic topology. Independent research skills. Broad interests including some of the following: Higher category theory