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coursework in probability and statistical inference, a statistics-focused Master’s thesis, or relevant publications. Foreign completed degree (M.Sc.-level) corresponding to a minimum of four years in
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competence in statistical theory and methods. Such competence can be documented by graduate-level coursework in probability and statistical inference, a statistics-focused Master’s thesis, or relevant
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publication(s) The following qualifications will count in the assessment of the applicants: Familiarity with Bayesian estimation techniques Familiarity with machine learning methods Proficiency in IRT Personal
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: Familiarity with Bayesian estimation techniques Familiarity with machine learning methods Proficiency in IRT Personal skills A collaborative, friendly, and team-oriented style of work Ability to join
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background in archaeology or a cognate discipline, with demonstrated experience of work with large datasets, databases and spatial analysis and tools A track record of high-quality journal publication
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large datasets, databases and spatial analysis and tools A track record of high-quality journal publication. For recent graduates, planned publications can be in manuscript form. Fluent oral and written
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activity on the website. The Information is used to track and analyze user behavior, to meet the individual user needs and to deliver targeted advertising. Personvernregler for databehandling: Youtube
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activity on the website. The Information is used to track and analyze user behavior, to meet the individual user needs and to deliver targeted advertising. Personvernregler for databehandling: Youtube
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about the users and their activity on the website. The Information is used to track and analyze user behavior, to meet the individual user needs and to deliver targeted advertising. Personvernregler
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for appointment A strong track record in one or, preferably, a combination of the following research areas: 1. Analysis of nonlinear partial differential equations (PDEs) 2. Analysis of stochastic PDEs 3. Numerical