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of projects for Cohort 2 (starting in October 2025). However, we are continuing to take applications for the remaining projects. We are now accepting applications listed by university (rather than by
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, including how to guarantee the properties of stability and constraint satisfaction while probing the system and learning a new model. This project aims to develop novel algorithms for the adaptive distributed
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Overview Join a world-leading team developing life-changing treatments for people with MND Working in multidisciplinary Better Outcomes for MND team based at the Sheffield Institute for Neuroscience
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sickness absence and annual leave records. Data input and export to prepare information for monthly management reports and graphs. Regularly review and monitor the efficiency and accuracy of current systems
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. Assess the build quality of parts generated through control model algorithms. Validate that methodologies developed are transferrable between different LPBF platforms through evaluation of parts generated
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Development of a Lattice-Boltzmann based model for the deposition process in chemically reacting flows School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof
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Development of a novel material model for machining prediction School of Mechanical, Aerospace and Civil Engineering PhD Research Project Self Funded Prof Hassan Ghadbeigi Application Deadline
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decision with multiple data sources. One example is to develop the semi-supervised methods and dynamic system interfacing algorithms to produce an automated and real-time information exchange across
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-identified scans, records and sensor feeds to answer questions such as: Can we predict a patient’s response to treatment without ever seeing their raw file? Can an algorithm learn the warning signs of trouble
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infrastructure inspection tools. Working in well known internationally acoustic group at the University of Sheffield, you will embark on developing an approach of remote acoustic sensing of defects invisible