420 computational-physics-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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AI-based diagnostics for fleet-based condition monitoring of electric vehicle motors using machine learning frameworks (S3.5-ELE-Panagiotou)
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AI-based diagnostics for fleet-based condition monitoring of electric vehicle motors using machine learning frameworks (S3.5-ELE-Panagiotou) School of Electrical and Electronic Engineering PhD Research Project Competition Funded Students Worldwide Dr Panos Panagiotou, Dr George...
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process, what our bodies are exposed to and their response will help detail clear guidance on healthy indoor design. For instance we will be able to recommend flooring surfaces to minimise impact on health
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-criteria decision analysis. Your models will link physical processes (rainfall, catchment runoff, drainage performance) with the financial and societal consequences of failures. The result will be a decision
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New macro-ligands for protein binding, and drug delivery School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr L Twyman Application Deadline: Applications accepted all
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Detection and Mitigation of Malicious Content Smuggling in GenAI Models (S3.5-COM-Zhao) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr Cass Zhixue Zhao
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pathway for particulate matter damage. Source-to-Health Modelling and Integration The final phase involves integrating the experimental data. The student will use computational and statistical methods
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magnitude in the bone changes with time, to inform implant design. The purpose of this PhD is to use a combined experimental-computational method to understand how the mechanical behaviour of bone changes
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Improving fleet-based decision-making with causal artificial intelligence (S3.5-MAC-Hughes) School of Mechanical, Aerospace and Civil Engineering PhD Research Project Competition Funded Students Worldwide Dr Aidan Hughes, Dr George Tsialiamanis, Prof Keith Worden Application Deadline: 15...
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Effective and Efficient Visual Presentation of Machine Learning Outputs Derived from High-Dimensional Data to Clinicians (S3.5-SMP-Alix)