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- the Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo invites applications for a doctoral research fellow in Machine Learning and Statistics. We seek a motivated researcher, who
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application! We are now looking for 1–2 PhD students for the Division of Computer Vision and Learning Systems at the Department of Electrical Engineering (ISY). Your work assignments Within the research unit
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, Skills, and Abilities: Knowledge of adult learning, community-engaged education, and applied instructional practices. Ability to teach effectively through in-person workshops, short-format courses, and
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Strong skills in simulation methodologies Excellent communication and interpersonal skills Desirable Criteria: Familiarity with machine learning algorithms and artificial intelligence as applied
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Outlook Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: Skilled at laboratory work. Knowledge of biobanking procedures and operations. Knowledge of lab record
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, organization, and function; models of perception, cognition, learning, and behavior; and statistical and machine-learning approaches for understanding neural data and brain function. We are particularly
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Eligibility criteria Selection will be based on the following scientific and technical criteria: • PhD in computational biology, machine learning, bioinformatics or a related field. • Proficiency with Python
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, and machine learning, applied to longitudinal multi-omics data from pediatric cohorts spanning diverse socio-economic and geographical contexts. Our lab will be supported by two major grants starting in
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Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experience in the area of designing algorithms and methods for data privacy and machine learning is
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teaching experience in related undergraduate courses; a demonstrated interest in educational innovation; strong problem-solving, debugging skills and working knowledge or familiarity with machine learning