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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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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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projects in either methods research or by collaborating with University colleagues, NHS partners and industry on applied projects. You will have at least a Master¿s degree in health economics, operational
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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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their creative, practical and academic studies. Music Technology is also studied on MRes and PhD programmes and is an important part of the department¿s research environment. Teaching takes place in our extensive
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animal health research. Essential Criteria: A PhD in microbiology, veterinary microbiology, or a closely related field. Proven experience in microbiological laboratory techniques, including bacterial
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are obliged to take part in the formal and informal assessment of students as directed by the Dean of the School. Staff are also obliged to take part in Peer Review of Teaching, attend Academic Unit meetings
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activities, and will be supported to develop their own independent research trajectories and career pathways throughout the project with access to bespoke training and conference budgets. You should have a PhD
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, to develop methods, tools and strategies for thinking and action on sustainability. By `marginalised¿ we mean those facing socio-economic, infrastructural, geographical and political inequalities that inhibit