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educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ UiO is subject to
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(ILT)” in the gills, and the Nemausean Lymphoid organ (NELO), revealing the branchial cavity as an important region of the fish immune system. https://www.science.org/doi/10.1126/sciadv.adj0101 https
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candidate to join our team at the Uni-versity of Oslo for the project: DC12 - Small-molecule promoters of inflammation resolution Supervisor Trond Vidar Hansen: https://www.mn.uio.no/farmasi/english/people
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on the candidate and the teaching needs of the department, the fellowship period can be extended with a fourth year for compulsory work consisting of e.g., teaching and supervision duties and research assistance
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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training must be submitted no later than two months after taking up the position, and the admission approved within three months. For more information about the programme, see: http://www.mn.uio.no/english
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mechanisms governing regulatory pathways in models of human biology and disease, including neurological, cancer-related, and immune processes. We particularly welcome research programmes that develop and apply
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educational system The purpose of the fellowship is research training leading to the successful completion of a PhD degree. For more information see: http://www.mn.uio.no/english/research/phd/ UiO is subject to
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than two months after taking up the position, and the admission approved within three months. For more information about the programme, see: http://www.mn.uio.no/english/research/phd/ UiO/Anders Lien via
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high