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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault diagnosis, and early fault prediction in electric vessels
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to the learning outcomes of an Honours degree in lieu of academic qualifications. Research proposal of 2000 words detailing aims, objectives, milestones and methodology of the project Equal Opportunities
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acquired through extensive industry experience. They form the talent pool which brings a much-needed industry perspective to student learning. They facilitate applied learning and applied research in SIT
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machine learning methods is desirable. Application Process You will be required to upload a covering letter/supporting statement, CV and the details of two referees as part of your online application
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-edge projects in chemical biology and drug discovery and will underpin the development of state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models with collaborators. You will
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London, Dubai and Mauritius, academics at the top of their game, and an international network of industry partners in our global community to learn, discover and innovate. The Faculty of Arts and Creative
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for Engineering, Robotics and Automation, Computer Engineering, and Electrical and Electronics Engineering. The successful candidate will contribute across the School of Engineering but will play a leading role
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Bournemouth University’s vision is worldwide recognition as a leading university for inspiring learning, advancing knowledge and enriching society through the fusion of education, research and
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in a team. An understanding of a range of computer systems, including Windows and Networking, would be beneficial. This role would suit someone who is already working in IT, and it would be beneficial