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positive impact through cross-disciplinary interactions. Actively seeking new funding and creating opportunity for spinouts. Working towards real-world outcomes. Integrating large-scale data, AI, and
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The post We are looking to recruit a Research Fellow in AI & Data Science to join the recently launched Centre for Net Positive Health and Climate Solutions (Net Positive Centre). The post is
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passionate plant science researchers, bioinformaticians or remote sensing/data scientists with skills in image processing or phenotyping with a collegiate and self-driven attitude towards multidisciplinary
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interactions across a range of physical platforms to build large-scale, hybrid quantum networks. Our work spans rare-earth-ion-doped solids, alkali vapours, quantum dots, and nonlinear photonic media, aiming
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for spinouts. Working towards real-world outcomes. Integrating large-scale data, AI, and genetics into research initiatives. You will have a PhD in biomedical science or a related field, postdoctoral research
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experimental studies, collecting data from human participants and analysing crossing behaviour as well as head/eye tracking data? Are you interested in joining the vibrant and world-renowned Human Factors and
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industrial partners and work in a large multidisciplinary, multicultural team. The successful candidate will also possess excellent standards of written and spoken English, skills in writing academic papers
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substantial deliverables. Ideal candidates will also have expertise in renewable energy, energy in buildings, the impact of occupants on energy use and data acquisition and analysis. Energy modelling expertise
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a multidisciplinary team under the guidance of Brijesh Dongol (PI) and Gregory Chockler (co-I), as well as a large team of academics (Imperial, Kent, Sheffield, MPI-SWS, Cornell, IMDEA, etc) and
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involves conducting a data-enabled trial with the ultimate aim to tackle antimicrobial resistance and preparing for the development and funding for a SMART trial. The postholder will work closely with