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First Stage Researcher (R1) Country United Kingdom Application Deadline 9 Oct 2025 - 22:59 (UTC) Type of Contract Temporary Job Status Part-time Hours Per Week 5 Is the job funded through the EU Research
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2D convolutional neural networks in Python. This is a part-time position (5 hours/week) funded until 31/03/2026 with a possibility of extension and is suitable for a Ph.D. student with relevant
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. This project will help to make a substantial difference towards automated drug discovery and helping to reduce suffering worldwide. This joint studentship is part of the strategic global partnership between
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Research Group) Aim: Model and analyse component and system level reliability, availability and resilience of hydrogen systems Background Driven by climate change concerns and net-zero carbon targets, in
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. The successful candidate will be based in the Mechanical and Aerospace Systems research group (previously known as G2TRC) within the faculty of Engineering and will be part of a supportive team of 50 researchers
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of components in the system, which are accelerated through the aging of the infrastructure; climate change, due to changing weather conditions and environmental factors impacting on the system; and deliberate
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an industrial partner, Haleon, who are a world-leading manufacturer of consumer health products. This project is part of strategy to deliver better everyday health for humanity. As such, it will provide a range
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the University of Nottingham, contributing to cutting edge research into clean and sustainable energy technologies. Vision and Aim Ammonia is an essential component of the global strategy to achieve net-zero
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an industrial partner, Haleon, who are a world-leading manufacturer of consumer health products. This project is part of strategy to deliver better everyday health for humanity. As such, it will provide a range
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that coats the entire outer surface of every single one of our chromosomes. Despite being first observed over 100 years ago, it remains one of the least understood components in cell division biology – we