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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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) invites applications for one Post-Doctoral Research Fellowship in Digital Transformation, Artificial Intelligence, and Smart Cities, as part of a prestigious grant awarded under the UK’s International
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Wide Data-Driven Circular Economy of Industrial Robots”. The candidates are expected to have experience with robotics, artificial intelligence, and digital twins. We are looking for candidates who can
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Wide Data-Driven Circular Economy of Industrial Robots”. The candidates are expected to have experience with robotics, artificial intelligence, and digital twins. We are looking for candidates who can
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We are seeking a Postdoctoral Research Assistant to join a new Oxford-GSK partnership focused on biostatistics and artificial intelligence (AI) for application in medicine. With a cross-departmental
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Institute (DERI). DERI is Queen Mary’s flagship University Research Institute dedicated to ground-breaking multi-disciplinary research in digital and data science, including artificial intelligence (AI). DERI
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Research Institute dedicated to ground-breaking multi-disciplinary research in digital and data science, including artificial intelligence (AI). DERI offers an outstanding research environment including a
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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
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Transformation, Artificial Intelligence, and Smart Cities Eligibility Early Career Researchers (ECRs) have completed or are close to completion of their PhD, potentially waiting for their final viva voce
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rapid growth of artificial intelligence. Key responsibilities include synthesising 2D materials with precise control over layer thickness, composition, and defect density, followed by comprehensive