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PhD Studentship: Optimisation of Liquid Metal Filtration and Cleanliness in Nickel Based Superalloys
tax free stipend of £25,780 per year. This project is co-sponsored by the EPSRC Centre for Doctoral Training in Digital Transformation of the Metals Industry (DigitalMetal) and Rolls-Royce plc with co
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before determining their visual loss arises from cortical, rather than ocular deficits. Tests of cortical visual function are used rarely except by highly specialised neurology/neuro-ophthalmology
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
to develop new and innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and
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described through five overall research areas: Diagnostic Imaging, Digital Health, Personalised Therapy, Precision Diagnostics, and Sensory and Neural Technology. Our technologies and solutions are developed
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innovative services and products which benefit people and create value for society. DTU Health Techs expertise spans from imaging and biosensor techniques, across digital health and biological modelling
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employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load from YouTube. Accept
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to gain a better understanding of how cloud microphysical processes drive both precipitation formation and the cloud's radiative impact. Project background The BeyondCloudlab project leverages weather
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
waveguides and fibres Digital signal processing Design and analysis of photonic systems. Applicants must have a Bachelor/Masters degree (or equivalent) in electrical/electronic engineering, nano
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experience with X-ray methods and imaging Have preferably some additional experience in the biomedical domain and/or in image processing Have preferably some experience using ML models and tools (e.g
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enabling imaging at the patient's bedside. The project is highly interdisciplinary, combining expertise in medical imaging, image processing, AI and neuroscience. It targets perinatal neuroimaging, in