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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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Dress Code: An ambassador top will be provided, you will need comfortable shoes and trousers Please note you will not be paid travel or accommodation as part of this role. Brief overview of the role
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requirement for this position. Experience with opensource CFD software, including code development, is considered a strong asset. Excellent oral and written communication skills and a track-record demonstrating
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Deployment The PhD programme offers: Training in the theory for solar energy technologies, experimental measurement and evaluation techniques, tools for modelling and predicting PV generation. Opportunities
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adherence to University policies and procedures within the unit and will carry out service, codes of practice and Health and Safety audits. Candidates should have substantial experience within a similar
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will carry out service, codes of practice and Health and Safety audits. Candidates should have substantial experience within a similar environment, have demonstrable planning, organisational and
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with coding, ideally in Python or MATLAB Funding support This studentship is open to Home students only. It is jointly supported by the Faculty of Engineering and industrial partners which is expected
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School of English, City as Lab - Deaf Cityscape. Responsibilities include: Note taking during in-person data collection Contributing to the design and building of the study Data coding and processing
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identifying relevant treatments and their associated Health Resource Group (HRG) codes to link hospital care provided with NHS Reference Costs, as well as linking any primary care activity with Unit Costs of
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Service (DBS), in line with the University’s code of research conduct and research ethics. You will join the vibrant and multi-disciplinary MindTech Research group and will be based in the Institute