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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 1 day ago
candidate will have a MSc in Data Science, Statistics, Machine Learning, Computer Science or a similar quantitative discipline or demonstrable equivalent professional experience Proven experience analysing
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Surveillance group. This role supports the Agency’s mission to protect public health by applying advanced data science and machine learning techniques to enhance vigilance and safety monitoring of medicines
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Shrivenham and will undertake high-quality scholarship and support a range of professional military and security education courses at the postgraduate level. Successful candidates will teach and supervise
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vision, robotics, machine learning and natural language processing (CSRankings) and were 7th in the UK for REF2021 outputs in Computer Science research. CVSSP and Computer Science are at the core of the
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Shrivenham and will undertake high-quality scholarship and support a range of professional military and security education courses at the postgraduate level. Successful candidates will teach and supervise
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Our inclusive and vibrant community exists to advance education, religion, learning, and research. We have around 275 non-academic staff, as well as approximately 130 teaching Fellows and around 800
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. As a Senior Technician in our growing team, you will work closely with our academic colleagues to shape the delivery of practical hands-on learning experiences for students on our specialist programmes
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vision, robotics, machine learning and natural language processing (CSRankings) and were 7th in the UK for REF2021 outputs in Computer Science research. CVSSP and Computer Science are at the core of the
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of subjects such as computer vision, Machine Learning, Artificial Intelligence and Kinematics and dynamics. Autonomous systems, Robotics and Automation. Industry 4.0 and Internet-of-Things. Advantageous to have
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for the challenging tasks facing biomedicine and public health. We are seeking a highly motivated Research Associate in Biomedical Machine Learning, who is passionate about advancing machine learning methodologies