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of the Port of Dover. The University of Manchester and Dover Harbour Board are looking to recruit a KTP Associate to undertake this 33-month project which has an overall aim of developing a physics-based and AI
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the main duties will be to support the process evaluation of the CHARMER trial. This role plays a pivotal role in the important interface between the CHARMER study and external stakeholders. You will
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to enhance sensor data accuracy and reliability in fuel tank gauging systems by developing deep learning and physics-informed deep learning models. These models will calibrate raw pressure sensor data to
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Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a
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systems by developing deep learning and physics-informed deep learning models. These models will calibrate raw pressure sensor data to capacitive sensor data and incorporate flight variables to improve
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and Cyber-Physical Systems Research Assistant in Human Augmentation with AI Fixed Term Contract until 14 March 2025 or for 9 months (whichever is sooner) Full time starting salary is normally in
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safeguarding processes around this, build successful relationships, work well with adolescents, and have knowledge and experience of the research process. Please ensure you read the Job Description and Person
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efficient. Thus, innovative extraction methods will be applied to produce algal protein extract through a low-cost, environmentally friendly process. Using University of Greenwich's state-of-the-art flavour
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of the work. As a Research Assistant you will contribute to the research activities of the Centre for Autonomous and Cyber-physical Systems, especially concerning the specific projects described above
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. Applicant will work in the Centre for Autonomous and Cyber-physical Systems at Cranfield. This exciting new role is co-developed with the Defence Science and Technology Laboratory (DSTL) and dedicated