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and analysis. Proficiency in a wide range of analytical chemistry techniques and methodologies. Ability to travel or drive to various locations for in situ work as required. Excellent teamwork and
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of the country’s foremost centres for engineering research (ranked 4th in the most recent REF ). You will have access to a range of 3D printing facilities, traditional engineering workshops, electronics workshops
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); have knowledge and expertise in quantitative data analysis; are skilled in the use of STATA, SPSS or other data analysis software; have the ability to plan and organise work independently and as part of
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candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power
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laboratory at the Rutherford Appleton Labs in Harwell, home of the most powerful femtosecond lasers in the UK, and of the Rosalind Franklin Institute (RFI), a new UK research institute with a focus in
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data processing is essential. Applicants are expected to demonstrate: Strong independent work capabilities complemented by effective teamwork skills. Willingness and ability to contribute
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programming skills in Python or C++ knowledge of biometric technologies, computer imaging and statistical analysis methodologies proven time management skills and the ability to work independently and
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, high-resolution microscopy, consumer electronics, and high-power laser applications. We are looking for hands-on experimental scientists with the drive to solve difficult and challenging scientific and
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: 2672624FP Research fellow in compute and network infrastructure for event-triggered compute The SONNETS project is a new £6.5M EPSRC programme grant led by the school of Electronics and Computer Science in
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, namely: the processing of alloys; microstructure characterization using advanced electron microscopy, or micro-XCT, in/ex-situ synchrotron X-ray tomography or other related advanced techniques. You will