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of knowledge-driven models, leveraging Bayesian statistics and causal inference for calibrated uncertainty, distribution-shift detection, and safety guarantees. You will be will working within the Center
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of knowledge-driven models, leveraging Bayesian statistics and causal inference for calibrated uncertainty, distribution-shift detection, and safety guarantees. You will be will working within the Center
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: .youtube.com Databehandlingsansvarlig: Youtube, Google Formål: Collects information about the users and their activity on the website. The Information is used to track and analyze user behavior, to meet the
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: .youtube.com Databehandlingsansvarlig: Youtube, Google Formål: Collects information about the users and their activity on the website. The Information is used to track and analyze user behavior, to meet the
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. The primary objective of SURE-AI is to create a new generation of algorithms for inference and decision-making by pushing the boundaries of computational techniques. The research emphasizes efficiency in
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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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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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of past warm periods in diverse geophysical datasets including, high resolution 3D and 2D seismic, sub-bottom profiler, regional 2D seismic and petrophysical logs; infer complex Earth system process
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) have a good track record in research and publications and preferably some postdoctoral research experience. have an interest in the study of professions, are prepared to devote substantial time and
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) or in a relevant professional field (e.g. social work, nursing, medicine, law) have a good track record in research and publications and preferably some postdoctoral research experience. have an interest