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Bayesian Index Tracking: optimisation by sampling School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Kostas Triantafyllopoulos, Dr Dimitrios Roxanas Application
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flight path analysis. Supervisor Bio I’ve been working in the field of Bayesian ML for 10+ years, with a focus on real-world applications and have developed several insect tracking techniques. As
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PhD: Digital Optimisation of Rail Grinding EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering for Manufacturing PhD Research Project Directly Funded UK Students Dr
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programmes across discipline specific themes, in this case, Rail. You will look after multiple funded rail based research projects within the Tribology Research Group, having excellent interpersonal and
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The Spatial Poetics of Objects: A digital enquiry into domestic objects in museum collections Digital Humanities Institute PhD Research Project Self Funded Dr Kathryn Simpson Application Deadline
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Development of a Wearable Sensor System and AI-Driven Analysis for Objective Bruxism Assessment School of Clinical Dentistry PhD Research Project Self Funded Dr Thomas Paterson, Dr Ning Ma
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accessible measure of location. One option is to use skew versions of know distributions that leave the mode or median of the distribution at the origin. The main objective of this project is to explore, from
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. Training will cover modelling, quantitative analysis, and laboratory methods. OBJECTIVES O1. Build a spatiotemporal lineage atlas of the pre-implantation human embryo. The student will assemble high-content
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processes in the 3D solar atmosphere by constructing the magnetic topology above ARs, and (ii) to track their temporal evolution by applying a method developed by our team at Sheffield. These aims aims will
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environments and inaccurate prior maps, to name a few. In order to cope with these challenges different methods will be developed. Knowledge of Bayesian methods for sensor data fusion, mapping and multiple