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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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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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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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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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multi-centre observational studies involving longitudinal clinical data and biological sample collections (e.g. Biomarkers and Stratification To Optimise outcomes in Psoriasis (BSTOP) study, mySkinomics
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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
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. You will be responsible for supporting the delivery of a large National Institute for Health Research (NIHR) funded programme of research into eczema online trials, led in partnership with citizen
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and Materials to work across several industry relevant projects and for the development of future group research strategy. MAS has a large intra-disciplinary team of researchers, engineers, technicians