439 evolution "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "St" research jobs in Norway
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advanced techniques involving electron spin superposition states for enhanced sensitivity. The development will be supported by a larger activity in the Solid State Physics group and Centre for Defects in
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in the development of knowledge. Qualitative methods and techniques like interviews, observations, and action research are preferred, but a mix of qualitative and quantitative may also be relevant. Use
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: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research
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learning and statistics, and who are eager to contribute to impactful methods for generating private and fair synthetic data with good utility. This project involves development of deep learning based
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pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp) Our goal is to make a difference in the development
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to the international initiative “Antarctic InSync.” For more information, see: https://ic3.uit.no/ . The position is based in the Marine Ecology section of the Research Department and will involve collaboration within a
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requirement: Fluent oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english
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analysis, development of educational material, organization of environmental activities, as well as dataset management and administrative tasks within UiO:Real-World Evidence and the UiOLifeScience
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, performs research and teaching on how to develop high quality software that benefits society and that is useful for both individuals and organizations. Goal / Development plan: In this PhD project you will
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. The focus is on the development of original mathematical methods for AI and its applications aimed at the modelling and analysis of complex phenomena particularly within economics and finance, energy finance