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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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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
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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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will not be allowed to supplement fees via self funding. About the project Understanding crystal structure is crucial not only during the discovery phase, where structural elucidation is routine, but
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complex metal structures. This opportunity is centred around improving manufacturing productivity with advanced laser-matter interactions control and optimisation. The PhD will advance our comprehension
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ELAVL1 controls the inflammatory responses at the genetic level. ● Discover which RNAs ELAVL1 regulates during inflammation. ● Understand what happens when ELAVL1 is inhibited - both
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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will be evaluated by end users in Spring 2026. Working as a member of Newcastle’s Power Systems research group and supported by the University’s Research Software Engineering team, you will continue to
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transmission is a foundational technology for modern power systems, efficiently delivering electricity over long distances and enabling the integration of remote renewable energy sources. As renewable