32 component-labeling-agorithm-cuda Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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and rural livelihoods, and how it can be managed sustainably. The role The post is funded by the Leverhulme Trust as part of the project “Quantifying the socio-economic consequences of losing bat guano
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candidate will be part of the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI’ Future Leaders Fellowship project, which seeks to develop new modelling
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part of a collaborative team including other project Researchers, the CPC Research Manager and Knowledge Exchange team, as well as Faculty members from both the Department of Gerontology
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layers Optical characterisation of loss, scattering and resonator finesse A core part of this role will involve close collaboration with our partners at Caltech and inter-institute visits to drive
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component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in
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review and which potential new data should be prioritised for acquisition. To address this challenge we will advance the state-of-the-art across multiple component disciplines; in explainable multi-modal
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involving industry and academia, funded substantially by the UK Space Agency. This is part of the UK Space Agency National Space Innovation Programme just announced by UKSA. The overall project is to develop
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of Ocean and Earth Science at the University of Southampton. The successful candidate will be part of the ‘Accurate projections of climate recovery from a combination of historical data, simple models and AI
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addition to the standard pre-employment clearances for the appointment, all candidates will be subject to a criminal records check and further security checks defined by the Cabinet Office, as part of their Baseline
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lasers and amplifiers would be beneficial for this position. You must have proven skills in the critical evaluation and interpretation of data and of working as part of a collaborative research team. The