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Field
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This PhD project is at the intersection of electromagnetism, numerical methods, and high-performance parallel computing, with application towards the design and optimisation of integrated circuits
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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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variants of importance sampling. We will connect these methods to modern formulations of Monte Carlo algorithms to improve their accuracy, scalability, and overall computational cost. The methodology so
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University of Salford, focusing on technology-informed rehabilitation of musculoskeletal injuries in military personnel. Force plates are widely used for multi-joint assessments, with standardized methods
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Management and Business Studies Sociotechnical Futures and Digital Methods (interdisciplinary) Expressions of interest are invited from potential doctoral students who would like to explore supervision
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, a research component and a teaching component. In terms of research, you will be expected to: Develop and implement a coherent and original programme of high-quality empirical research commensurate
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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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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
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Lead Supervisor name: Andrew Callaway, email: acallaway@bournemouth.ac.uk Project description: This PhD programme will determine the most clinically acceptable methods for emergency response teams
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abundancy). Protein identification methods are not easily translated into a point-of-care (POC) testing given the laborious, time-consuming and sophisticated nature of currently available techniques. A POC