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neurocritical care research The Opportunity We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis
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highly appreciated. High-throughput data analysis (RNA-seq/ Proteome). Experience in cutting edge techniques in RNA Biology, protein biochemistry, neuromuscular biology, and cell biology. Experience
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engineering or organic synthesis is desirable but not essential Competency in data analysis, plotting and interpretation, manuscript drafting Ability to work independently and in a team, excellent
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an emphasis on technology, data science and the humanities. This opening is to employ a Research Fellow under Asst Prof Marie Loh Chiew Shia who is competent in the field of molecular epidemiology to contribute
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. Experience with data analysis and/or mathematical modelling would be a significant advantage but is not necessary. You will be expected to interact strongly with the experimental team at the Francis Crick
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally
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engineering, data analytics, games development, amongst others. This a great opportunity to embed yourself in the knowledge exchange ecosystem of digital innovation. The position will involve working closely
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Introduction 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
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who shares our values and who will support the mission of the university through their work. Qualifications: Ph.D. in a relevant field such as Learning Sciences, Human-Computer Interaction, Education
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of Earth and Environment (SEE), and working closely with its School of Civil Engineering, you will use various seismic datasets – including data already recorded with fibre-optic distributed sensing systems