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simulation software to study interactions. Applicants must demonstrate a track record in applying such approaches including a relevant Ph.D./DPhil and experience. Applicants must also be confident in using
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CURE’s overall objectives Classifying and Understanding Remedies in Comparative Labour Law (CURE) is a 5-year comparative project, originally funded by the ERC and guaranteed by UKRI,[1] based
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of the post-doctoral researcher will be to engage in the design and testing of programs and curricula for young children learning two languages in educational classrooms and testing and tracking the impact of
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, talented and motivated senior mycologist to join our team, to lead research in fungal biodiversity and taxonomy. The ideal candidate will have a proven track record in securing research funding alongside and
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designed to facilitate a timely transition of outstanding postdoctoral researchers with a research and/or clinical doctorate degree from mentored, postdoctoral research positions to independent, tenure-track
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Engineering, Computer Science/Engineering, Data Science, or a closely related field *Proficiency in Python or other tools and ML frameworks *Track record of open source contributions or tool development in AI
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the domain of drug repurposing in psychiatry and the use of AI for high-throughput signal evaluation. We are looking for a candidate with an established track record within observational research and
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Science, Mechanical Engineering, Materials Physics, or a closely related field A strong academic track record and a solid understanding of the mechanical behavior of materials and materials science Hands
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reputable university Experience with mouse models Experience with advanced microscopy Evidence of productivity, including at least one scholarly publication Track record of technical versatility Good record
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author