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Published: 2024-04-04 Are you interested in working with language models and computer vision, with the support of competent and friendly colleagues in an international environment? Are you looking
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. Very good spoken and written English skills are required. Additional qualifications An interest for interdisciplinary and applied research and Swedish language skills are merits. Practical experiences
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and skills in remote sensing of forest data; knowledge of the academic debates on threats to Russian boreal forests, and Russian language skills are desirable. Russian forests comprise nearly 20
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of mass violence on individuals and society. Research is conducted in a markedly interdisciplinary research environment that brings together researchers with a background in history and philosophy, language
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of mass violence on individuals and society. Research is conducted in a markedly interdisciplinary research environment that brings together researchers with a background in history and philosophy, language
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leave, duties in labour unions, etc. We are looking for a colleague with: Advanced knowledge and skills in epidemiology and statistics; Advanced knowledge of a statistical programming language, e.g. SAS
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leave, duties in labour unions, etc. Solid knowledge of at least one modern programming language is required, as is proficiency in written and spoken English. Additional qualifications Experience from
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work on decision algorithms. Technical keywords for the position include: probabilistic models, deep learning, Bayesian inference, possibly also large language models and Bayesian inference and decision
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trunks. The research environment is international, with English being the working language. We are active members of the optimisation community and are hosting CPAIOR 2024 . You can find more information