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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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Role: Software Developer (Machine Learning for ALS Diagnosis) Grade and Salary: Grade 6 - £31,236 - £36,636 Contract Type: Full Time (1FTE), Fixed Term (until 27/02/2026) Location: Edinburgh Campus
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The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning and the third largest university by intake in Singapore. Our mission is to maximise the potential
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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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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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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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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