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at the University of Oslo. The main goal is to develop tools and knowledge for precision medicine in psychiatry, building on advanced statistical methods for analysis of large-scale human genetic and neuroimaging
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on advanced statistical methods for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors contribute to severe brain
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ethics. You will be also part of the Digital Signal Processing and Image Analysis (DSB) group in the Department of Informatics at UiO. Francesco Saggio/UiO via Unsplash Francesco Saggio/UiO What skills
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the Digital Signal Processing and Image Analysis (DSB) group in the Department of Informatics at UiO. Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills are important in this role? The Faculty
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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medicine in psychiatry, building on advanced statistical methods for analysis of large-scale human genetic and neuroimaging data, to better understand how biological, psychological, and environmental factors
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analysis or access control, formal methods or semantic technologies will be considered an advantage when candidates are ranked Language requirement: Good oral and written communication skills in English
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will apply for the position. More information about gender equality initiatives at UiO can be found here. How to apply The application must include the following six elements as separate documents: Cover
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psychology. High expertise in quantitative analysis (e.g. structural equation, multilevel, epidemiological, genetic, or psychometric methods), and proficiency in statistical software such as R, Mplus, or Stata
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. LTG is an international and diverse group, where current prominent research activities include event extraction, sentiment analysis, and training and benchmarking of language models. The research