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University is distinctive in nature. We are a modern and forward thinking institution rooted in, and connected to a city with a rich history of culture and learning. We are a globally recognised University
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influence clinical practice. We welcome applications from candidates with following backgrounds: Candidates with strong experience in medical image analysis, machine learning (especially deep learning) and
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to learn German Computer skills: MATLAB and/or R desirable You are motivated and self-propelled You are flexible and creative You should be a team player with high social skills What we offer: Work-life
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automated business processes workflows. Situated at the intersection of digital innovation and the built environment, the successful candidate will get to apply their machine learning and software engineering
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computer. Alan Turing’s pioneering work here laid the foundations for modern computing and artificial intelligence. Today, we’re embracing the next wave of technological progress and we want you to help
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such as geolocation. The model will be dynamic (updating predictions as patients record new data), and will consider statistical and machine learning algorithms. Development of statistical methods
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influence clinical practice. We welcome applications from candidates with following backgrounds: Candidates with strong experience in medical image analysis, machine learning (especially deep learning) and
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departments, and a thriving ecosystem of museums, libraries, and research centres. At Cambridge, our mission is to contribute to society through world-class education, learning, and research. With a deep
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Development. As well as HRMI, the Workforce Development team covers Learning & Organisational Development, Academic Probation/Promotion and Reward. For an informal discussion about the role please contact
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Accredited learning and development opportunities This full time, permanent post will be focused on supervising our Delivered and Managed hospitality service across both Streatham and St Luke’s campuses within