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electrolysis include slow responsiveness to varying renewable energy, high cost of balance of plants and power electronics systems and low energy efficiency, and limited lifespan of electrolysers. The main
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, including remote sensing Expertise in cloud physics, preferably cirrus clouds Aircraft performance/emissions modelling preferred but not required Creative problem-solving skills and ability to work
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This exciting opportunity is based within the Power Electronics and Machines Centre (PEMC) Research Group at Faculty of Engineering which conducts cutting edge research into enabling technologies
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academic performance in undergraduate and, where applicable, Master’s coursework Advanced programming skills in R and Python Familiarity with econometric techniques, especially panel data methods Ability
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area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise your own workload
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area, have extensive experience in conducting model-based economic evaluations using suitable statistical software (e.g. R or Python) and the ability to work independently, prioritise own workload and
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Funding for: UK Students Discipline: Engineering & Technology, Electrical and Electronic Engineering, Other Engineering, Physical & Environmental Sciences Qualification: Doctor of Philosophy in
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(M4X - https://more.bham.ac.uk/M4X/ ) research group investigates new alloys for extreme environments from fusion/fission reactors, to aerospace gas turbines and concentrated solar power. This involves
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software development and highly proficient in computer programming languages for XR development. Proven ability to translate and implement specialised innovative ideas into functional code. Excellent
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per year for 3.5 years. Lead Supervisor’s full name & email address Dr Massimiliano Fasi: m.fasi@leeds.ac.uk Project summary The growing importance of artificial intelligence is fostering a paradigm