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hydrological models to improve malaria transmission estimates’ funded by the UKRI Natural Environment Research Council (NERC). The project aims to embed hydrological processes in models of malaria transmission
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remotely sensed data. The new mapping will build on the first map of the central Congo peatland (Dargie et al. 2017 Nature) and a more recent update we produced (Crezee et al. 2023 Nature Geoscience
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current ‘gold standard’ therapy, overall survival remains dismal (12-15 months). Neurosurgery remove much of the tumour bulk but due to the infiltrative nature of glioma, cancer cells remain. These cells
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our Organisational Development & Professional Learning team, and self-development courses including languages, Creative Writing, Wellbeing Therapies and much more. Access to on-site childcare, shopping
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, climbing wall, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team, and self-development courses including languages
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-development courses including languages, Creative Writing, Wellbeing Therapies and much more. Access to on-site childcare, shopping discounts and travel schemes are also available. And much more! Please note
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underpinning research. As MSCA PhD Fellow (DC2) in Leeds, you will investigate how molecular self-assembly governs the ultrastructure of PNNs. PNNs play a pivotal role in regulating neuroplasticity, a process
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online process analytical technology (PAT), embedding sustainability metrics into the optimisation loop, and apply transfer learning to accelerate the transition from batch to continuous flow processes
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of using models and observations to study weather and climate processes. You will have knowledge of atmospheric dynamics. You will have evidence of a strong commitment to publishing scientific results
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tailored to your career goals. You will have, or be close to obtaining, a PhD in deep learning, computational geosciences, computer sciences, mathematics, or physics, and have experience of developing and