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of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The appointment is a full-time position and is made for a period of three years, 10% of which is
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approved. Desired qualifications and competencies PhD thesis relevant to the proposed research project Expertise in machine learning Additional expertise in one or more of the following: digital signal
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level, developing and employing machine-learning tools for predicting antibody-epitope binding. In silico antibody design is a long-standing computational and immunological problem. Improving
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career plan shall be developed for the Postdoctoral Fellow, specifying the competencies the Postdoctoral Fellow should acquire. UiO is responsible for following up on the career plan and ensuring
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. The position is based at the Department of Informatics, University of Oslo, and will be part of a growing research agenda at the intersection of geographic information systems, epidemiology, machine learning and
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for appointment The candidate must have excellent results and a clear profile in one or more of the following areas: Information Systems, Machine Learning, Data Analytics, and Automation and Intelligent Systems
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Fellow should acquire. UiO is responsible for following up on the career plan and ensuring that the Postdoctoral Fellow has access to career guidance throughout the postdoctoral term. If the Postdoctoral
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proficient in conducting quantitative analyses. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. Alongside
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2028. The successful candidate will primarily teach and supervise students in the department’s bachelor’s and master’s programmes in Classical Languages (Ancient Greek and Latin, with an emphasis
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Postdoctoral Research Fellowship at the University of Oslo. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency during their fellowship period