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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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Overview: In the role of Technician, you will primarily provide support to The Tribology and Rail Group, playing a key role within the department’s Laboratory Services Group One Team. You will also
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Bayesian risk quantification for accelerated clinical development plans (C4-MPS-Oakley) School of Mathematical and Physical Sciences PhD Research Project Competition Funded Students Worldwide Prof J
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Development and Validation of a Multimodal Wearable Headband for Objective Bruxism Monitoring Using Machine Learning (S3.5-DEN-Boissonade) School of Clinical Dentistry PhD Research Project
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Computational Circular Design: Development, scalability and computational efficiency of surrogate-assisted many-objective optimisation algorithms for circular design for disassembly (C3.5-AMR
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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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Overview We have an exciting, cross-disciplinary role, working as part of a team to develop a novel insect tracking system that could lead to new insights in animal intelligence and have spin-out
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Rail Grinding Performance Mapping using Novel Rail Surface Quality Characterisation (C3.5-AMR-Taylor) Advanced Manufacturing Research Centre PhD Research Project Competition Funded Students
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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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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