11 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at University of Nottingham in United Kingdom
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. Programming, coding, and experimental hardware skills (desirable). Strong analytical and mathematical capabilities. A passion for research and a willingness to learn. Excellent presentation, communication, and
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. Programming, coding, and experimental hardware skills (desirable). Strong analytical and mathematical capabilities. A passion for research and a willingness to learn. Excellent presentation, communication, and
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/coding and experimental hardware skills are desirable. Strong analytical and mathematical skills. Passion for research and willingness to learn. Good presentation, communication and scientific writing
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control code, building and commissioning hardware, and running experiments on PEMC's state-of-the-art test facilities. You will work directly alongside researchers and leading industrial partners, including
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, arranging financial journals between purchasing codes, and supporting financial year-end housekeeping activities. We are seeking an individual with excellent organisational skills, strong attention to detail
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control code, building and commissioning hardware, and running experiments on PEMC's state-of-the-art test facilities. You will work directly alongside researchers and leading industrial partners, including
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can contribute to our multidisciplinary research programme. Candidates should demonstrate experience in at least one of the following areas: Developing, implementing, or adapting Python-based codes and
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, implementing, and optimising advanced AI algorithms, with deep proficiency in machine learning architectures, scalable model development, and high-performance code. The role holder will have the opportunity
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sites Full UK Category B driving licence is required with no automatic-only restriction (code 78). Candidates must be able to drive manual cars and small vans. Further details about the duties and
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. Coding and hardware skills are desirable. Strong analytical/mathematical skills. Passion about research and willingness to learn. Good presentation, communication and writing skills. Funding support After