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motivated candidate with an interest in building quantum technology and learning a wide range of skills in optical systems, precision measurements, electronic control and feedback systems, vacuum systems
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that experiments have historically been conducted without precise control over the environmental conditions, allowing too many variables to influence tree growth simultaneously. For decades, the field
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with immune cells is key to developing new regenerative treatments. This PhD will develop an innovative joint-on-a-chip platform, a miniature engineered model of the knee joint that mimics physiological
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for research power in Scotland, Edinburgh Napier also holds the 10th position among young universities in the UK and is ranked among the top 600 universities overall worldwide according to the prestigious
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, engineering, physical sciences, economics or any other field where evidence is provided of sufficient computing and mathematical background) solid experience of programming, machine learning methods and ideally
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Research theme: Organic and Biological Chemistry How to apply: uom.link/pgr-apply-2425 UK students This 4-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive
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from all backgrounds to join our community. The Nonlinear Systems and Control group (https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/nonlinear-systems-and-control ) at Aalto
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related disciplines. Applicants with track records or experience in system modelling, machine learning and control are highly desirable. How to apply Applications should be submitted via the Chemical and
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This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further
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should hold a Honour first degree and/or a Master’s degree in Mechanical Engineering, Control Systems, Mechatronics, or a closely related discipline. The ideal candidate will have strong skills in MATLAB