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-based code optimisation. You will develop novel techniques that harness the power of machine learning to create optimisation strategies for compilers and memory management libraries for next-generation
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will have experience with zebrafish models, light stimulus design, hyperspectral imaging, and behavioural monitoring. You will be adept in coding and analysis using tools such as MATLAB and Python
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code are transparent, well-documented, reproducible, and openly shared with the scientific community. The role also offers opportunities to contribute to teaching and training activities across
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qualitative software (such as NVivo) to manage and code data Apply knowledge in a way that develops new understanding of dementia care delivery Support co-design activities with stakeholders in community-based
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projects. Have an outstanding research record commensurate with their level of experience as demonstrated, for example, through an outstanding thesis, publications, conference presentations, code etc. Have a
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presentations, code etc. Have a proposal which is within the AI in Science research remit and skills which fit the cohort of AI in Science fellows. Fellows will join the Eric and Wendy Schmidt Network
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outstanding research record commensurate with their level of experience as demonstrated, for example, through an outstanding thesis, publications, conference presentations, code etc. Have a proposal which is
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on research projects. Have an outstanding research record commensurate with their level of experience as demonstrated, for example, through an outstanding thesis, publications, conference presentations, code
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undertaken for the University is performed in the UK. Visa Sponsorship Queries: This role has been assigned an eligible SOC code, and meets the salary requirements for Skilled Worker Sponsorship if full time
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. Literature review of technologies and commercial market scanning. Modelling, simulation and data management. Design and analysis of hardware and software. Coding, debugging, and troubleshooting. Testing