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of Birmingham is inviting applications for a Research Fellow position focused on Machine Learning for Automated Formal Verification. Machine learning has transformed programming, with code generation rapidly
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Job Purpose To make a contribution to a project working with Prof Lee Cronin. (www.croninlab.com). The researcher(s) will be working in the area broad area of chemical robotics and automated
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Applications are invited for this PhD training programme to commence in September 2026. Led by the London School of Hygiene & Tropical Medicine, this PhD Programme is offered by five UK and six
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delivered through flexible, easily transferable, multi-product technologies, integrated engineering solutions, including microfluidics, to automate manufacturing and technologies with a simplified regimen
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postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as
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river system Develop, test and apply algorithms for the processing and analysis of satellite data drawing on the latest physics-based and/or data-driven techniques Contribute to work on the automation and
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% super Develop automated workflows & collaborate with industry partner Apply now to join our dynamic research group and contribute to the development of high-throughput quantum chemistry workflows
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independently and in close collaboration with in-country partners. The applicant should have an excellent academic track record that includes formal training in microbiology as well as a relevant PhD (public
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and innovation. Experience working with robotic systems, automation, or advanced manufacturing technologies. A collaborative mindset with a commitment to interdisciplinary research. A PhD (or working
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academic roles, should they arise, at Durham or elsewhere. Successful applicants are normally expected to be within 8 years of completing their PhD, although career breaks for parental leave and/or health