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mathematical models with state-of-the-art machine learning techniques to develop forecasting models that are more accurate, efficient, and capable of incorporating complex atmospheric phenomena. This is a fixed
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13 May 2024 Job Information Organisation/Company Swansea University Department Central Research Field Mathematics » Other Researcher Profile First Stage Researcher (R1) Country United Kingdom
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the discipline, demonstrated by a PhD (or nearing completion) or equivalent in Mathematics and Statistics, to develop teaching programmes, and teach and support learning; Please ensure you read the Job Description
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Funding providers: Swansea University Strategic Partnership Research Scholarships (SUSPRS) with Université Grenoble Alpes, France Subject areas: Applied Mathematics, Mathematical and Computational
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mathematical and experimental study of mode-2 internal solitary waves (ISWs) is proposed. ISWs travel along density interfaces within stably stratified fluids. They are composed of a single or very few pulses
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PhD Studentship: Data-driven Probabilistic Modelling of Clonal Dynamics in Human Tissues and Cancers
. Recently, scientists have employed mathematical modelling in combination with probabilistic inference to elucidate the dynamics of clonal evolution over the course of a human lifetime. Such work has revealed
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, Fluid Mechanics, Mechanical Engineering, Applied Mathematics, Engineering Mathematics, Mathematical Modelling, Nuclear Physics
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academic performance and grades at undergraduate level and/or Master’s level is considered essential. Knowledge & Experience (Essential & Desirable) A strong background in engineering or mathematics
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such probabilistic terms, quantum theory cannot. In this project we will be investigating concrete solutions of the TKMP when K is a finite lattice and immediately using the mathematical solution to address Bell-type
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, chemical and biotech industries. If you have a strong background in computational chemistry, physics, mathematics or a related area, then this is the project for you! With access to large collections