227 machine-learning "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" Fellowship positions at University of Oslo
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combine intracranial electrophysiological recordings in humans with behavioral experiments and advanced analytical approaches, including machine learning and statistical modeling. It has two main objectives
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at the University of Oslo. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency in the course of their fellowship period within the duty component of
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public defence are eligible for appointment Strong programming and artificial intelligence/machine learning skills The candidate’s research proposal must be closely connected to the call and the research
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measurement quality issues related to respondent non-compliance in ecological momentary assessment or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models
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or exploring the use 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
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a potential to contribute to the ongoing academic dialogue in the department. Applicants must be able to teach in Norwegian or a Scandinavian language in order to meet current teaching needs
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to candidates with a potential to contribute to the ongoing academic dialogue in the department. Applicants must be able to teach in Norwegian or a Scandinavian language in order to meet current teaching needs
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. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency during their fellowship period within the duty component of 25 %. Project description and
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. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency during their fellowship period within the duty component of 25 %. Project description and
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methods will be advantageous: Microbiological techniques, as well as computer-based analysis Molecular biology techniques Analysis of high-throughput datasets (DNA seq, microbiological data, competitive