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will join a large team and assist with various aspects of research, including: (1) participant recruitment; (2) data collection; (3) data entry and data annotation; (4) project management; and (5
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formation. The successful applicant will use recently obtained data from an ALMA high-priority project featuring the first simultaneous ALMA and VLA observations of the Orion Nebula Cluster, led by Jan
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systems, their implementations and data analysis methodologies. Practical experience of deploying IP cores on FPGA systems is essential. A track record of publications in leading journals / conferences is
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to the financial modelling of zero-emission vehicles, fleets, and associated infrastructure, including data analysis, impact assessment, and tool development. It will also involve interpreting and reporting total
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory
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bias, and move beyond a neutral scientific view to acknowledge historical context. Specifically, your role will involve leading qualitative data collection and analysis across different phases
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failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable. Please note
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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 understand how climate will
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, e.g. weekly meetings, journal clubs, seminars etc. There has been progress using GenAI, like diffusion models & flow maps, for inverse problems. The GenAI models act as data-derived priors, while
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the group can test and validate models of sodium-ion battery behaviour. As such, proficiency in computer programming (particularly python) is required as well as knowledge of numerical methods