318 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Sheffield
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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation School of Electrical and Electronic Engineering PhD Research Project Self Funded
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engineering, physics or applied mathematics. Interests in CFD, computer programming and nuclear engineering are desirable but pre-knowledge and experience are not essential. The student is expected to present
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Civil Engineering PhD Research Project Directly Funded UK Students Prof R Dwyer-Joyce Application Deadline: 30 August 2026 Details Novel Sealing for High-Pressure H2 and Low-Carbon Storage Technologies
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Deciphering Streptococcus dysgalactiae subsp. equisimilis Population Genomics and Host-Pathogen Interactions using Advanced 3D Tissue Engineered Infection Models
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background in physics, engineering, mathematics, or related quantitative discipline Interest in biological systems and interdisciplinary research Experience or willingness to learn computational modelling
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degree and a Masters, or a Distinction at Masters level with any undergraduate degree (or international equivalents) in Chemistry, Computer Science, Earth Science, Engineering, Physics, or Mathematics and
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discipline such as Computer Science, Engineering (e.g., electrical and electronic engineering, control engineering, etc.), or Mathematics. Strong mathematical aptitude (minimally to UK A-Level standard or
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. Candidates are expected to possess a degree in Software Engineering or Computer Science. Specifically, applicants must demonstrate experience in writing tools to address flaky tests and have encountered them
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for research in computational hearing, speech perception and speech technology. It includes five professors, three lecturers and many research associates and PhD students. SpandH group members play key roles in
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AI-Enhanced Healthcare - Leveraging Multimodal Data Integration for Impactful Innovation School of Electrical and Electronic Engineering PhD Research Project Directly Funded UK Students Dr Mohammad