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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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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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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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experience in psychometrics, assessment, and developmental psychology. High expertise in quantitative analysis (e.g. structural equation, multilevel, epidemiological, genetic, or psychometric methods), and
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Computer Science with a clearly NLP-based thesis. LTG is an international and diverse group, where current prominent research activities include event extraction, sentiment analysis, and training and benchmarking
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scientists, from young talents to established researchers, across machine learning, statistics, logic, language technology, and ethics. You will be also part of the Digital Signal Processing and Image Analysis
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, language technology, and ethics. You will be also part of the Digital Signal Processing and Image Analysis (DSB) group in the Department of Informatics at UiO. Jarli & Jordan/ UiO via Unsplash Jarli & Jordan
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approaches from STS and/or innovation studies such as valuation studies or care studies will be considered an advantage. Experience with qualitative document-analysis, ethnography and/or interview studies will
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also count in the assessment of the applicants: optogenetics, chemogenetics, computational and statistical methods for analysis; rodent behaviour, histology methods, sleep scoring, neurodevelopment as
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in programming language theory, algorithms, distributed systems and logic Experience with language-based techniques for information-flow analysis or access control, formal methods or semantic