767 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Queen Mary University of London" positions in Norway
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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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requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as
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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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universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be an attractive and inclusive
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international institutions. More on the project at http://sure-ai.no. Duties of the position Complete the doctoral education until obtaining a doctorate Carry out research of good quality within the framework
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, quality-diversity methods, and evolutionary robotics. Experience with programming, designing and/or building robots or mechatronics systems. Experience with prototyping and open source development
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(Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp) Our goal is to make a difference in the development of next-generation
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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