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professional guidelines or organisational policy, applying initiative and independent judgement. E2 Demonstrated commitment to open research, as appropriate to the discipline, through open data, open code, open
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. E5 Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support replication. Desirable: F1 Experience
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UKRI rates, and is subject to annual inflationary adjustments. Research themes include: Designing efficient, lattice- or code-based zero-knowledge proof systems resilient to quantum attacks Verifiable
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processes, the foundations of deep learning. Experience coding with deep learning libraries such as Pytorch/JAX is essential. Fluent written and spoken English skills as well as contributions to the group
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/ProvinceLancashireCityLiverpoolPostal CodeL69 7ZEStreetOxford StreetGeofield Contact State/Province Lancashire City Liverpool Website https://www.liverpool.ac.uk/ Street Oxford Street Postal Code L69 7ZE E-Mail yvonne.grunder
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About The Role We are seeking a talented, numerate researcher at post-Master’s level, with strong quantitative and programming skills (Python and/or R), to join the Solace-AI team (https
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validation and performance metrics. Experience producing reproducible analytical workflows and well-documented code. Ability to communicate complex technical findings clearly to both technical and non
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improve forensic science methodologies and explore and minimise harms on human health and public safety. About The Role The Research Assistant will support the work of the Preventable Deaths Tracker (https
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to the discipline, through open data, open code, open educational resources and practices that support replication. C6 Demonstrable ability to manage, analyse and interpret complex quantitative datasets and
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across multiple research sites. C5 Commitment to open research, as appropriate to the discipline, through open data, open code, open educational resources and practices that support replication. C6 Ability