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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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Computational Circular Design: Development, scalability and computational efficiency of surrogate-assisted many-objective optimisation algorithms for circular design for disassembly (C3.5-AMR
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Computational Circular Design: Development, scalability and computational efficiency of surrogate-assisted many-objective optimisation algorithms for circular design for disassembly (C3.5-AMR
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AI-based image segmentation algorithms capable of recognising both common and rare tree species in highly-diverse ecosystems such as the Peruvian Amazon. Working with drone-based imagery and validated
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excellent. The “Foundations of Computation” group of the school involves academic and research staff members working in Algorithms, Computational Complexity, Combinatorics, Logic, Program Semantics and
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AI-Driven Facial Movement Analysis for Early Stroke Identification in Pre-Hospital Settings (S3.5-COM-CChen1) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr
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proofs, bounds, convergence results) alongside algorithm design and high-performance computation. Biological case studies, such as slime mould experiments, serve as inspiration and as a unique source of
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, aerodynamic noise, machine learning, stochastic algorithms, uncertainties This University of Sheffield PhD project is part of the EPSRC Centre for Doctoral Training in Sustainable Sound Futures programme
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the development of this technology. In particular, the nonlinear and high-dimensional nature of the plasma dynamics mean that the desired reference state is challenging to compute and the control gains have to
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Reinforcement Learning from Human and AI Feedback (S3.5-COM-Peng) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Bei Peng, Dr Zheng Yuan Application