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countries. As a room-temperature electrocatalytic reaction that can be powered using renewable electricity, Li/M-NRR is envisaged as a sustainable, scalable method to decentralise NH3 synthesis, improving
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best practice guidance. You should have demonstrable skills in qualitative data analysis, including familiarity with, or knowledge of, engaging research methods (e.g. participatory video, photovoice
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environment, and benefit from diverse project team skill and expertise. The successful candidate should have a PhD in cartilage, stem cell or protease biology (or a related discipline). Expertise in mammalian
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. An ability to use diverse methods in the pursuit of applied knowledge is preferred and a PhD, completed or near to completion, in a relevant discipline required. You will have experience of working
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offences. The project will take a multi-method approach using methods in experimental psychology and psychophysiology. You will play a key role in designing experimental paradigms for the collection
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, and implementing the arc model in a commercial software package (Ansys Fluent). The School of Engineering is an Athena Swan Silver award holder and is committed to encouraging, developing and supporting
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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD
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programming skills, and experience with modern machine learning approaches. You will analyse pangenome structure and dynamics, develop new computational methods for comparative genomics, and investigate
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play a pivotal role in generating and critiquing evidence to inform healthcare decision-making, and advancing economic evaluation methods. You will work closely with an experienced multi-disciplinary
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new stable co-electrocatalysts using high-throughput synthesis and screening and evaluate them for activity and selectivity towards methane or syngas. You will have a PhD in chemistry or chemical