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research, harnessing the power of generative artificial intelligence (GenAI) to impact millions of families globally. Building on large-scale research and implementation of parenting programmes in the Global
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’, ‘Interventions’ and ‘Populations’. Working across themes and with many of our Centres of research excellence for diabetes research; artificial intelligence, data analytics and modelling; environmental health and
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research, harnessing the power of generative artificial intelligence (GenAI) to impact millions of families globally. Building on large-scale research and implementation of parenting programmes in the Global
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Eissa Application Deadline: Applications accepted all year round Details Artificial Intelligence (AI) is transforming healthcare by enabling data-driven decision-making and predictive modelling. Engineers
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in our London Campus on a one year fixed-term contract. The teaching associates will be leading and delivering modules on our MSc Computer Science, MSc Artificial Intelligence and MSc Data Science
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Biochemical Network Analysis group, led by Jürgen Zanghellini . The team focuses on mathematical modeling, artificial intelligence, and high-performance computing to study metabolic networks and optimize
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have expertise in data and statistical analysis with a strong component in machine learning and artificial intelligence techniques. You will have programming skills in R, Python or equivalent language
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traditional areas, such as Financial Accounting, or in tech-based areas such asFinTech and Artificial Intelligence in relation to accounting-change. In return we offer a highly competitive rewards and benefits
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to provide an Innovation Accelerator for Immersive technologies, Artificial Intelligence, Cyber and Industrial digitalisation you will be responsible for providing project management activities and you will
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London (UCL) has an exciting opportunity for a Lecturer in Artificial Intelligence and Machine Learning for Sustainable Construction. The post holder will be within The Bartlett School of Sustainable