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from Rolls-Royce plc. This fully funded PhD project, with support from a leading industrial partner, will explore the development of next-generation intelligent sensing and data analysis techniques
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of flexible hydropower operation on potential internal erosion processes in embankment dams. The research will involve experimental investigations, data analysis, and possible field work, in collaboration with
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communication skills in English Skills in data management and statistical analysis Other skills and qualifications considered meriting: Experience in scientific writing Written and spoken communication skills in Swedish
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research. You have a good knowledge of and/or a strong interest in biomechanics and human motion analysis. Knowledge of or a strong interest in collecting experimental data (e.g., structural vibrations and
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processing and statistical analysis. The PhD thesis will be supervised by two supervisors, Corentin Louis (Chargé de Recherche CNRS, Observatoire de Paris) and Baptiste Cecconi (Astronome, Observatoire de
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project funded by the National Science Center, entitled: “Do stress granules truly matter for cellular protection? A multiparametric analysis of their formation and function under drug-induced stress”. Join
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materials, resources, and programme content Managing research data, performing statistical analysis, and preparing reports Monitoring project progress and ensuring timelines are met Supervising junior
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. This correspondence is a cornerstone of the modern Langlands program, providing a deep and unforeseen bridge between harmonic analysis and number theory. The primary goal of this project is to formalise
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physicochemical characterization of biomaterials and nanoparticles. Experience in size exclusion chromatography. Experience in analysis of pharmacokinetics and biodistribution of nanoparticles. Experience in
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in performance of evolution experiments Competences and experience in genome analysis and in genetic manipulation of mikroorganisms Publication(s) from earlier research work