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Field
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Developing a non-coding RNA predictive biomarker in bladder cancer School of Medicine and Population Health PhD Research Project Competition Funded Students Worldwide Dr Jonathan Griffin, Dr Dan
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are available on https://docs.er.kcl.ac.uk Early applications are encouraged, as we reserve the right to close the advert early if a high volume of suitable applications is received. About the role We encourage
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determining appropriate research methods, in line with the research agenda set in our NIHR project. 2. Play a lead role in cleaning of data, data management, development of code to analyse complex longitudinal
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/ Interview/ Test Good foundational coding skills (e.g, python) with a structured approach to coding. Essential Application/ Interview/ Test An interest in working with challenging real-world health care
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closely with team members (data scientists, software engineers, and faculty) to adapt code used for data wrangling, machine learning, and optimisation to the specific needs of projects; and contributing
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, validations, change management, coding, quality control, database locking), implementing standardisation of data collection, management and delivery protocols. Implement efficient, effective and secure
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the sustained health of the zebrafish colony. Undertaking unplanned tasks, including heavy lifting, to meet the evolving needs of the aquarium environment. Upholding the University Code of Conduct. Carry out
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produces a Guidebook that collects the team's practices and useful information at https://guidebook.devops.uis.cam.ac.uk/ What we're looking for You will be highly skilled in modern software development
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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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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