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Deciphering the evolution of male sexual ornaments and female preference in stalk-eyed flies School of Biosciences PhD Research Project Self Funded Dr A Wright Application Deadline: Applications
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the results of which would be used to enrich the available experimental data in order to develop a Design for Manufacture and Performance concept based on machine learning algorithms where the required
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of Sheffield is involved in the DUNE project with a broad range of responsibilities in detector construction, modelling and software development. This PhD project will focus on development of a methodology for
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Development of efficient methodology for large deformations in conjugate heat transfer simulations School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Mohamed
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how this impacts therapeutic resistance to in order to develop more effective pan-tumour treatment strategies. This will involve investigating spatially-mediated molecular divergence in response
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explore data-driven methods including machine learning (ML) and artificial intelligence (AI) techniques, to develop predictive HMPM tools that can diagnose, detect, and predict faults in machinery
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electromagnetic design. We will explore advanced topologies for mmwave metasurfaces, design novel reconfiguration mechanisms, and develop intelligent algorithms to optimize scattering characteristics in real-time
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opportunity for the successful applicant to develop further towards leading an independent academic career at the interface of AI and engineering applications (such as advanced manufacturing). The role holder
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Deadline: 31 October 2025 Details This project aims to develop new algorithms for reinforcement learning from human feedback, to effectively solve complex reinforcement learning tasks without a predefined
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naturally occurring electron donors or acceptors, which inhibits the chemical and biological reactions essential for natural attenuation. This interdisciplinary PhD project aims to develop a novel remediation