473 postdoctoral-image-processing-in-computer-science-"EPIC" uni jobs at University of Sheffield
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vision (computer sight) with machining process data (forces, vibrations) to develop an intelligent system that can accurately identify why a tool is wearing out (e.g., abrasion, fracture) and when it's
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Computational imaging: seeing beyond the capabilities of conventional optics School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Andrew Maiden Application Deadline
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Novel materials and catalytic processes for the clean-up of organic pollutants in water School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Conte Application
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PhD (or equivalent experience) in evolutionary developmental biology along with experience of developmental and molecular biology techniques, including imaging and gene expression analysis. A proven
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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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Overview The Engineering and Maintenance team provide a reactive and planned programme of works for every building within the university, working in collaboration with other university departments
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Application of Closed-loop control for EBeam Powder Bed Fusion manufacture of Tungsten – employing Dynamic Process Themes and Microstructural Control in Fusion Engineering component manufacture
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Tracking Flying Insects: Developing novel technology to explore the lives of bees School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Michael Smith Application
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Computational photochemistry/Vibrational control in transition metal complexes School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application Deadline
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Fully-funded EPSRC CDT in Machining, Assembly and Digital Engineering for Manufacturing (MADE4Manufacturing) School of Mechanical, Aerospace and Civil Engineering EPSRC Centre for Doctoral Training