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Field
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Programme Overview This PhD is part of the Engineering Hydrogen NetZero (EnerHy) Centre for Doctoral Training (CDT), a newly established EPSRC-funded initiative focused on advancing research and
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alto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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this testbed available to users for testing hardware and applications. NPL will lead on the testing and security evaluation of the testbed and collaborate widely on the technology development. The student’s
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 2 months ago
to collaborate with experts from diverse fields including engineering, environmental science, policy studies, and business to address complex decarbonisation challenges. A life cycle based approach may be taken
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(IoT) device ecosystem. Despite the technology’s potential, however, flexible electronics face numerous technology challenges. This PhD project aims to tackle one of the most critical technology
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PolyU’s website at https://www.polyu.edu.hk/ . DEPARTMENT OF BUILDING ENVIRONMENT AND ENERGY ENGINEERING Research Assistant Professor in Building Energy / Building Environment /Building Safety and
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candidates are invited to apply promptly as selections will be made on a rolling basis. Ideal candidates would have a strong background in Computer Sciences, Software Engineering, Artificial Intelligence
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throughout the water/wastewater value chain, allowing for more informed and robust strategies toward sustainability and circularity. Skills/Experience Required: Process systems engineering, wastewater
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, including vulnerable groups. Basic proficiency in qualitative data analysis software (e.g., NVivo, Atlas.ti, or similar) is desirable, though training can be provided. Strong written and verbal communication
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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour