828 proof-checking-postdoc-computer-science-logic Fellowship research jobs in United Kingdom
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Why work for us? As a member of staff, you'll have exclusive access to a range of staff benefits . The ICR is committed to supporting overseas applicants applying for roles, please click here to find out further information. The Institute of Cancer Research, London, is one of the world's most...
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2-Year Postdoctoral Position in Frontiers of Ocean and Planetary Science University of Southampton (Schools of Ocean & Earth Science / Physics & Astronomy) Start Date: Early 2026 (flexible
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More Results Research Fellow (Food Science & Technology / Chemical Engineering) - Project (SL2) Employer SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Location Singapore Closing date 17 Jul 2025 View more
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, quantitative field, e.g. atmospheric or climate science, meteorology, computer science, data-science, physics, mathematics, statistics, environmental science or related fields Evidence of a good understanding
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, the appointed candidate will work closely with the line manager to develop novel control algorithms in EAP soft robotics combining Gaussian Predictors, hands-on laboratory experiments and JULIA computing
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in physics, engineering, computer science, and mathematics is essential. Expertise in data analysis and inversion, Proven experience with geophysical, physical, or sensor data analysis, including
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are working together to translate research discoveries into developing better, more effective treatments to improve outcomes for cancer patients. A position as a computational scientist is available in
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Job Description Position Details Department of Applied Health Sciences, School of Health Sciences, College of Medicine and Health Location: University of Birmingham, Edgbaston, Birmingham UK Full
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research stsaff will have the opportunity to be equipped with applied research skill sets
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing