357 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" research jobs in Norway
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plays in society and how professional language functions, is learned, and used in different contexts. Participants in work package 2 will study how professional language is used in education, research
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refractive-index imaging of complex samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue
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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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https://www.ntnu.edu/imf/research/ for an overview. Your immediate leader will be the Head of Department. Duties of the position Carry out research of good quality. Academic publications. Participate in
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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