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Research Office Location: Newport, Shropshire TF10 8NB Salary: As per advert Post Type: Full Time Contract Type: Fixed Term - 36 months funded Closing Date: 23.59 hours BST on Friday 16 May 2025
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successful candidate to work closely with academics and industry researchers within these areas. There will be opportunities for secondment at the NNL Laboratories. Additional requirements A first degree in
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summary The PhD studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with
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in correctly identifying high acuity cases within an increasing volume of lower acuity calls. This project will use mixed methods to assess the impact of this change. Data modelling and analysis will
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detailing why you want to be part of this project and how this post will be a good stepping-stone for your career. We also need the contact details for two people who can provide a professional reference. The
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open questions wherein mathematics can play a key role, e.g., (i) can we mathematically describe the principles of LC phase formation; (ii) can we design LC systems with prescribed properties and (iii
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The Project: Are you passionate about materials science, numerical modelling and materials characterisation techniques? Do you want to work on cutting-edge research that will directly impact nuclear
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• Ability to work independently and in a collaborative environment Essential skills: • Experience with data manipulation methods • Experience with data privacy and interest in data governance • Familiarity
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-box techniques in the industry is still high. One of the main reasons is that the performance of such techniques highly depends on a large amount of good-quality data. Unfortunately, the availability
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opportunity to disseminate work through high-quality peer-reviewed journal publications and presentations at prominent international conferences, such as the IEEE International Conference on Robotics and