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are interested in these or related fields, particularly those who may bring a new technology or perspective to bear on the work in the lab. Familiarity with neural networks and/or primate electrophysiology is
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of clinical decision support systems and multimodal analytic platforms to translate advanced data science solutions into critical care. The main focus of this position is on the analysis of the signals
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an emphasis on technology, data science and the humanities. We are seeking highly motivated individuals with a strong interest in cancer genetics and genomic medicine to join the research team under Associate
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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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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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. 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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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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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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verification and assurance options, Specifically, the role will involve investigating: Excessive Agency and discovery of data and other misconfigured attack vectors an AI system can exploit. Misuse, by analysing
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: Autonomous Systems and robotic platforms Agricultural Robotics and precision agriculture technologies Artificial Intelligence and Machine Learning applications Computer Vision and sensor integration