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develop your software engineering skills to redefine manufacturing? This exciting PhD project is for you if you want to develop innovative techniques to ensure industrial robots are reliable, safe, and
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models such as Random Forest and Neural Networks to help understand and predict pairwise interactions between pollinators and plant species. - Software Engineering: integrate models into a standalone
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for the company, which will open new markets and opportunities. This PhD covers a wide range of skills and so it is essential the candidate has a 1st degree in electrical engineering or equivalent experience
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Interviews: 19 November 2025, University of Salford Registration: January 2026 Project Description This PhD complements two ongoing projects funded by the Academic Department of Military Rehabilitation and the
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, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power
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One fully funded, full-time PhD position to work with Prof. Mahesh Marina in the Networked Systems Research Group at the School of Informatics, University of Edinburgh. The broad aim
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including data engineers, clinicians, software developers, and lived experience experts to: Scope and integrate new datasets into an new web interface, focusing on mental health-relevant omics and real-world
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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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effort between School of Engineering and School of Chemical Engineering at Aalto University supported by our industrial partners. The PhD student to be jointly supervised by two supervisors; Prof. Hamid
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mechanisms , smart electroactive materials , embodied intelligence , advanced control systems , and microfabrication techniques . This PhD forms part of the new £14 million VIVO Hub for Enhanced Independent