19 big-data-and-machine-learning-phd Fellowship positions at Queen's University Belfast in Uk
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or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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*) in Bioinformatics, Data-Science or a closely related area such as computer Science, or mathematics * If PhD pending, it must be conferred less than 3 months after closing date. Significant, relevant
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embedded AI systems. They will demonstrate a strong track record of high-quality research in machine learning/AI and/or embedded systems, evidenced by publications in leading conferences and journals
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support the process of shared learning and devolpment across the Centre’s community partners. C4 will find and share the most effective community action strategies, providing invaluable insights for both
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coordinating all data and research needs within the demonstrator sites especially in relation to ethics and general data protection regulation (GDPR). They will coordinate all work in relation to complex data
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that you meet the following essential criteria: Hold or be about to obtain* a PhD in Molecular biology, Biochemistry, genomics, or a related discipline. (*PhD to be completed within 4 months of the closing
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the person: The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: *Have or about to obtain a PhD degree in Nutrition
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fields in biomedicine with an excellent PhD degree awarded. The candidate should be committed to developing a dynamic, academic career in science and have excellent communication skills in written and
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that all SUMIT data needs are met and is to the highest ethical standards. They will undertake data collection and anonymisation, data analysis, dissemination and community outreach activities, prepare