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education. The project will involve software development for Apple Vision Pro using Swift and the Apple spatial computing ecosystem, as well as the development and deployment of edge AI models for automated
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sensing and ecological modelling. Research focuses on three contrasting UK peatscapes: Dartmoor, the Peak District and the Flow Country. The successful applicant will work closely with Dr Jessie Woodbridge
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planetary atmospheres. The Section also initiates and manages a wide range of related modelling, software and hardware R&D activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s
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for malaria and other neglected tropical diseases. This will be done by developing mathematical and statistical models, to describe the time course of drug concentrations and effect. You will work closely with
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cause virulence. We apply interdisciplinary approaches, including genomics, metabolomics, molecular microbiology, microscopy, and pathogenesis studies using mouse models to address these questions. Job
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data beyond the application of established pipelines OR experience developing mathematical or statistical models of biological systems. ● A record of publishing computational biology (broadly defined
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grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
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for the commercialisation of the technology in the near future is a thorough understanding and modelling of the corrosion chemistry of the molten salt nuclear fuel in contact with structural materials in the reactor core
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background in molecular biology and cell biology. Experience working with animal models. Demonstrated scientific curiosity, initiative, and commitment to research excellence. Ability to work independently
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at the neuro-immune interface Experimental approaches include in vivo tumour models, conditional mouse genetics, neuronal tracing, genetic and viral manipulation of neuronal populations, immune-cell depletion