281 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Oslo
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. The successful applicant must be able to teach at all levels and to supervise Master and PhD students. The successful applicant may furthermore be required to take on other teaching duties and administrative tasks
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(NELO), revealing the branchial cavity as an important region of the fish immune system. (https://www.science.org/doi/10.1126/sciadv.adj0101 ) (https://www.frontiersin.org/journals/immunology/articles
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educational system. Strong background in molecular modeling, molecular dynamics simulations, or computer-aided drug design. Proven record of programming language through publicly available Github/Gitlab
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dynamics simulations, or computer-aided drug design. Proven record of programming language through publicly available Github/Gitlab or similar repositories. Experience in the cell biology lab Fluent oral and
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Computers and Electronics - NTNU. https://www.ntnu.edu/nice Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a
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protection. For more information about the Digital Security Research Group, see https://www.mn.uio.no/ifi/english/research/groups/sec/ Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills
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stimulating research environment. The project will be supervised by Prof. Rafal Ciosk and co-supervised by Prof. Marianne Fyhn: https://www.mn.uio.no/ibv/personer/vit/rafalc/ https://www.mn.uio.no/ibv/english
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kind of machine learning algorithm, provides more accurate data than traditional data collection methods, e.g. paper-based surveys. This data is valuable to several stakeholders: i) architects and urban
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qualifications: A strong background in algebraic topology. Experience in any of the following: Higher category theory, stable homotopy theory, simplicial methods. An interest in computer algebra and programming
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recently funded centre of excellence (Integreat). Integreat collects scientists from statistics and computer science and offers a flourishing machine learning community, including many PhDs and PostDocs