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and Regulations for the degree of Philosophiae Doctor (PhD) at the University of Oslo. The University of Oslo has a transfer agreement with all employees that is intended to secure the rights to all
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innovation. Colourbox via Unsplash Colourbox Qualification requirements Required qualifications: PhD in machine learning, statistics, computational biology, applied mathematics, physics, or similar. Eligible
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qualifications: PhD in machine learning, statistics, computational biology, applied mathematics, physics, or similar. Eligible candidates may apply before completing their PhD degree. However, a documented proof
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interdisciplinary and collaborative research environment, interacting closely with experimental and computational collaborators. You will contribute actively to research, supervision of students, and collaborative
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Formål: Device fingerprinting for security purposes Personvernregler for databehandling: Fingerprint JS - Personvernregler for databehandling Utløpsdato: ett år Navn: _iidt Leverandør: .jobbnorge.no
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the Faculty’s medical school and PhD-program. We employ about 220 FTE and have almost 700 Bachelor and Master students. Annual income is about 200 mill NOK, half of which is external funding. Our researchers play
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at international conferences, etc. • Opportunities for co-supervision of PhD and/or MSc students • Membership in the Norwegian Public Service Pension Fund • Attractive welfare benefits • Salary NOK 595
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successful use in probabilistic recommender systems, but many other research topics may also be relevant for the project, such as scalability, post-Bayesian methods, and in general computational and
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closely with experimental and computational collaborators. You will contribute actively to research, supervision of students, and collaborative activities in multiple projects, and play a central role in
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. The candidate will be part of the PhD education and program at TIK and the Faculty and will be supported and supervised by the senior researchers in the project. For both the PhD and the postdoctoral research