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Field
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particular focus on helping build machine learning models that can help humans learn faster and more effectively, and/or make better decisions. They will independently manage their academic and associated
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is concerned with the challenging problem of modeling the complex modern radio environment, where a diverse set of devices and agents share the available spectrum. In this environment, it is crucial
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to habitat loss in cold-water coral ecosystems. The position is for 27-months through the NERC-funded grant on “Coralporosis of cold-water coral ecosystems - in silico reefs to model habitat loss
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analysis techniques, including space syntax, isovist measures, and visual complexity assessments. The successful candidate will work closely with researchers at Cambridge and ETH Zurich to quantify spatial
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to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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period of 12 months, but renewable annually, up to the end of the grant period upon mutual interest . The project involves the combination of the use of cultured cells and vertebrate-derived disease models
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& migraine, repair & regeneration following spinal injury, neuroinflammation, and hearing loss. About the role: Age-related / adult-onset hearing loss (ARHL) is a complex neurodegenerative disease affecting
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, neuroinflammation, and hearing loss. About the role: Age-related / adult-onset hearing loss (ARHL) is a complex neurodegenerative disease affecting millions of people worldwide. This is an exciting opportunity for a
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Applications are invited for a Postdoctoral Research Associate with expertise in optical spectroscopy, structural characterisation techniques and modelling applied to next-generation semiconductors