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following skills and experience: Essential criteria Have MSc in Artificial Intelligence, Biomedical Engineering, Computer Science, Bioinformatics, Chemoinformatic or another related area. Excellent
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collegiality is at the heart of what we do. The Department’s research structure consists of five Research Groups: Algorithms and Complexity (ACiD) Artificial Intelligence and Human Systems (AIHS) Network
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conditions. Our work combines traditional statistical methods with advanced artificial intelligence algorithms to identify patterns in disease. We also use qualitative methods to understand lived experiences
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, or exploring CST in relation to specific topics, such as work/employment, human migration, incarceration and the criminal justice system, democracy/populism, Artificial Intelligence, integral ecology, war/peace
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
related field. Strong quantitative and programming skills (e.g., R required). Experience in ecological modelling with different Artificial Intelligence methodologies, including but not limited to machine
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project funded by Wellcome. This project has a mission to build the next generation of evidence synthesis tools for climate change and health research driven by artificial intelligence. The project will co
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area of ICT can be considered, but priority is given to candidates who support one (or more) of the HIIT strategic focus areas : Artificial Intelligence Computational Health Cybersecurity Data Science
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commercialisation activities. A world-class, multidisciplinary research environment spanning optics/photonics, nanotechnology, artificial intelligence (AI), and clinical medicine. Fully equipped laboratories
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, improve wellbeing, and help to create a better world. Current and recent Research Fellows include: Dr Virgil Andrei, who has developed floating ‘artificial leaves’ that generate clean fuels from sunlight
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Grant “Advancing Gravitational-Wave Astronomy Using Artificial Intelligence” led by Dr Greg Ashton. The successful candidate will join Royal Holloway’s Astronomy Group and conduct research activities