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for healthcare. A2 Project or subject specific skills; e.g. experience of data collection, the use of AI/ML tools for processing collected data and understanding of hardware technologies to configure systems and
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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one
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or biological systems. Proficiency in implementing and interpreting statistical and ecological process models in R or Julia is essential. (Research Assistant) Applicants must hold a BSc or MSc in ecology
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required to meet their climate neutrality targets (see: https://up2030-he.eu/ ). The University of Cambridge is leading activities on data governance and city-wide carbon management. The post holder will be
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to collaborative scholarly outputs. You will present your findings at conferences and help shape the project’s intellectual direction and future development. This is a full-time, fixed-term post for 6 months
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. We welcome applications from UK, Europe and from across the globe. Please contact Dr Anna Bloxam via email anna.bloxam@nottingham.ac.uk for further information regarding this post. Please note that
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pipelines that will ultimately be deployed onto a cloud-based industry-standard platform, including their subsequent use for further research. This post is full-time (part-time working will be considered, 0.8
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four years, alongside a Research Assistant salary for the full period. Please note that we are only able to cover fees at the UK student rate. This is a full-time post (35 Hours per week), and you will
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device nanofabrication and clean room processing of 2D materials (required). Skill sets of handling low-temperature and ultra-high vacuum systems, such as molecular beam epitaxy (MBE) or STM experience
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post (part time considered) for 3 years. The closing date for applications is noon on 10 October 2025. You will be required to upload a CV and a cover letter as part of your online application. The cover