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: Professor Marinko Sarunic Project Description: Optical coherence tomography (OCT) is widely used clinically in ophthalmology and is essential in the diagnosis and treatment of retinal disease. Ophthalmic OCT
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information about the course and to access the Applicant Portal, click the 'Apply' button above. You should select to commence study in October 2026. Deadline The closing date for applications is 17th October
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Transactions 54, 10574-1058 (2025); Applied Physics Letters 126,11110 (2025). Prior experience in computational chemistry is desirable but not necessary. Applicants should have, or expect to achieve, at least a
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Development of novel processing techniques Modelling techniques that can inform the direction of experimental activity Physical, mechanical and materials characterisation techniques Data-driven approaches
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on electromagnetic motors, pumps, or compressed air systems. However, motors are often bulky, heavy, and rigid, while fluid systems are typically tethered and inefficient. There is an urgent need for untethered soft
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honours degree (or equivalent) in Engineering, Physics, or Applied Mathematics. Experience in coding and CFD is advantageous but not mandatory—an eagerness to learn and innovate is key! Full training will
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) in mathematics, computer science or a related discipline. This research is interdisciplinary. The candidate must have strong expertise in at least one of the following areas (1) or (2), and a clear
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, antennas, and electromagnetic metasurfaces. The computer-aided simulation of electromagnetic fields is critical in the design of most computing and communications devices, such as high-speed interconnects in
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computational and machine learning approaches to integrate Oxford Nanopore (ONT) long-read data with bulk and single-cell RNA-seq profiles. The aim is to identify host-microbiome molecular signatures that drive
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21 Aug 2025 Job Information Organisation/Company University of Cambridge Department Department of Engineering Research Field Neurosciences » Neuroinformatics Engineering » Control engineering