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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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will support the generation of high-throughput mass spectrometry (MS) data to power state-of-the-art Artificial Intelligence (AI) and Machine Learning (ML) models to build a chemical ‘rule book’ for
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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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well as companies and governmental organisations . They will contribute to the activities of the wider machine learning and data science research group and write up the results of their work, with co-authors
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the Falmouth & Exeter Students' Union (The SU) and the wider, universities partnership we support Higher Education learning and living, ensuring that the interests of all campus users are at the heart
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for effective team-based practice. You will champion high-quality IPE initiatives underpinned by research and scholarship, with a particular focus on skills, simulation, and practice learning. Working with
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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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computational statistics, statistical machine learning, simulation and statistical programming). The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world
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knowledge areas include cyber-security, applied machine learning and data mining, intelligent video analytics, natural language processing and artificial intelligence, autonomous learning and dynamically
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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