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industrially-relevant human-made materials. This project will address key priorities in the microscopy sector by developing workflows that integrate cutting-edge imaging and characterization techniques and
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optimization techniques, coding new algorithms, creating new mathematical theory, and the analysis of large data ensembles. You will write papers for submission to academic journals, collaborate with academics
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in a subject relevant to the proposed PhD project (such as mathematics or theoretical physics) is our standard entry, however we place value on prior experience, enthusiasm for research, and the
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of Engineering at the University of Birmingham and delivered in collaboration with industrial partners and the Quantum Technology Hub in Sensing, Imaging and Timing (QuSIT) – one of five national hubs funded by
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or until the position is filled whichever is the soonest. Sponsor: EPSRC & Northumbrian Water Group Supervisors: Dr Gary Caldwell Dr Miguel Morales Maqueda Dr Vassilis Glenis at Newcastle University
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at the intersection of machine learning, bioinformatics, and computational pathology. Project Overview: Integrating histopathological imaging with omics (e.g., transcriptomics, genomics, proteomics) holds tremendous
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place value on prior experience, enthusiasm for research, and the ability to think and work independently. Excellent Analytical skills and strong verbal and written communication skills are also essential
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essential. It is desirable that the successful applicant shows evidence of an interest in East Asian politics and their substantive area in general, in addition to the eligibility requirements set by
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industrial spheres. By the end of the project you will have mastered environmental surveying, microbiological sampling, high-frequency sensor deployment, drone-based imaging and the bioinformatic analysis
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: Atmospheric Science How to apply:uom.link/pgr-apply-2425 Number of PhD positions: 1 This 3.5 year PhD is funded by the Department of Earth and Environmental Sciences, available for Home students only. Tuition