798 parallel-computing-numerical-methods-"Simons-Foundation" PhD positions in United Kingdom
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) numerical analysis and real or elementary functional analysis; (b) probability theory; (c) implementation of computational methods using, for example, Julia or Python. To apply, please contact the main
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matrix functions. These computational problems are central to many scientific and engineering applications, including quantum mechanics, materials science, and weather/climate modelling. Numerical methods
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Fully-funded 4-year PhD Studentship (UK Home fee status): Numerical simulation of boiling flows for high heat flux fusion components Aim and Objectives This project aims to develop a high-fidelity
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Monte Carlo methods for glassy dynamics and complex materials Supervisor: Dr Michael Faulkner, University of Warwick Glasses are materials that combine macroscopic solid behaviour with amorphous liquid
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Research Studentship in Numerical Optimisation and Control 3.5-year D.Phil. studentship Project: Embedded Optimisation for Autonomous Spacecraft Control Supervisors: Prof Paul Goulart The project
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. See UKCISA for further information . Starting in April 2026. You will need to meet the minimum entry requirements for our PhD programme . This studentship involves analysing electronic health records
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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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monitoring techniques; Familiarity with environmental sensors or data-collection systems; Experience of UK habitat or ecological surveying, including vegetation or biodiversity field methods; Ability to work
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will include advanced 2Dm synthesis, acoustic manipulation, and device fabrication in Exeter’s and Bath’s facilities, alongside simulation (thermal energy) and characterisation methods (Raman, AFM, SEM
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: Legal Deposit Libraries, Rejected Texts, and New Methods for Negative Bibliography’ (PromPrint). Hosted by the Sussex Digital Humanities Lab (SHL Digital) and led by Principal Investigator Dr Hannah