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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: This PhD is aligned with an exciting new multi-centre research programme on parallel mesh generation for advancing cutting-edge high
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input from a parallel international project (in collaboration with Prof. Joni Lakin, Dr. Jonathan Wai, Prof. David Uttal) and industry collaboration via the partnership with GL Assessment (Dr Berny
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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degradation will be measured. In parallel, field-based measurements will be made of protein degradation pathways, and growth/protein synthesis proxies in wild fish at times of high and low sea temperature, in
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tested by isothermal titration calorimetry (ITC) or microscale thermophoresis (MST) in collaboration with the lab of Prof. Andy Lovering. In parallel, minibinder/effector pairs will be co-expressed using
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algorithms * Parallel algorithms and distributed computing * Parameterized complexity and structural graph theory * Random structures and randomized algorithms * Sublinear and streaming algorithms
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provide powerful tools to improve the quality and efficiency of data-driven models. In parallel to the development of data-driven models for dynamical systems with geometric structures such as Hamiltonian
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Trinity Laban Conservatoire of Music and Dance | London, England | United Kingdom | about 2 months ago
Introduction Trinity Laban is accepting applications for a new PhD fund in partnership with the Satyam Kalon Programme. The Programme is a ground-breaking collaboration between academics, artists
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applicant must have (or be close to obtaining) a relevant PhD in Fluid Mechanics from an Engineering, Mathematics or Physics Department, a strong background in theoretical and computational fluid mechanics
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mitigation strategies to prevent performance losses due to these impurities. We will explore both experimental techniques as well as computational models to provide feedback for designing higher efficient