760 evolution "https:" "https:" "https:" "UNIVERSITY OF LUXEMBOURG" positions in Norway
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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
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and development projects on related topics, in particular with CoorsTek Membrane Sciences AS which is a leading technology developer of proton ceramic electrochemical cells and partner in the HYDROGENi
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to the following projects: OESE. The project is connected to the project “Origin and Evolution of Solar Erup-tions (OESE)” funded by the Research Council of Norway. The OESE project will study solar eruptions by
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of meta-material structures. The project will involve both physics-based forward modeling of protein or metamaterial structures, the development of effective architecture for machine learning classification
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creative way Strong motivation for academic writing Interest and motivation in teaching and teaching development. Good communication and dissemination skills. Positive and solution oriented. Remuneration and
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research environment with a strong focus on mentoring and career development. Starting date: upon individual appointment and no later than 1 October 2026. The appointment is a fulltime position at the
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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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: 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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of Norway through the “Arctic MSCA-PF program”. Successful postdoc candidates will be invited for a two-day MSCA-PF symposium June 10-11, 2026 (hybrid physical/digital event, see details at https://uit.no
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-induced mutations in evolution" funded by the NFR and led by William Reinar. The HotSpot project investigates how environmental stress biases the genomic mutation landscape and how these biases may