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to Algorithms and Back”. About the project/work tasks This project bridges two foundational fields in computer science and mathematics: Theory of Algorithms and Extremal Combinatorics. By integrating these areas
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the research project “Governing elites since the dawn of modern democracy” (GETGOV), which is funded by the European Research Council. The PhD fellowship period is three years and devoted to carrying out
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-term period of three years, with the possibility of a fourth year consisting of career-enhancing work (e.g. teaching experience). The position is part of broader project relating pure and computational
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. Other career-promoting work may consist of teaching, supervision, and/or research assistance. This is dependent upon the qualification of the applicant and the current needs of the department. No one can
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year consisting of career-enhancing work (e.g. teaching experience). The position is part of broader project relating pure and computational mathematics hosted jointly by the Arctic University of Norway
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aeruginosa, and Enterobacter spp) Our goal is to make a difference in the development of next-generation strain-specific rapid diagnostics, and to help find potential drug/vaccine targets. Within this network
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(UiO) seeks a highly motivated candidate for a PhD research fellowship aimed at de-risking CO2 storage in volcano-sedimentary systems offshore Norway. The PhD research project targets ML-assisted
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period is three years. A fourth year may be considered and it will involve 25 % of other career-promoting work. Other career-promoting work may consist of teaching, supervision, and/or re-search assistance
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fundamental and applied research within offshore wind energy. This position is financed by EU and associated with the ERC Consolidator Grant project Data-Driven Approaches in Computational Mechanics
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with the ERC Consolidator Grant project Data-Driven Approaches in Computational Mechanics for the Aerohydroelastic Analysis of Offshore Wind Turbines - DATA-DRIVEN OFFSHORE (Grant agreement ID