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an original programme of research working with ecologists Dr Fay Voller , Dr Ashley Lyons and Dr Anne Oxbrough in collaboration with Dr Steven Ewing at the RSPB Centre for Conservation Science . This PhD is
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the above ‘Apply’ button. Under ‘campus’ please select *Loughborough* and select the programme ‘CDT Engineering Hydrogen Net Zero’. Please quote the advertised reference number *LU-EnerHy-2025-1* under
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This large-scale ecological project investigates the barriers and drivers of post-fire forest recovery. With climate change and the spread of forest fires to new areas, it is important to investigate the conditions that support forest recovery after a fire. The study areas can be defined using...
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Human Behaviour in projects targeting social good. Research at N/LAB focuses on the development and application of innovative computational methods using Big Data, Behavioural Science and Machine Learning
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funded PhD position is available to evaluate variation in spinal treatments using engineering methods. Specifically, the project will develop and validate novel computational testing methods to evaluate
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degree in statistics, computer science, data science or computational biology. Ideally, the applicant would have a background in both biology/biomedical sciences and statistics/data science. Applicants
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English, you will need to meet the minimum English requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. The studentship is supported
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wealth inequality, and how their career paths, values, and social networks maintain the status quo. As a PhD student on this programme, you’ll play a key role in generating new insights that could help
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of industrial cooking. The project will be based within the Centre for Sustainable Energy Use in Food Chains (CSEF) which has substantial expertise and experimental and computational facilities to support the
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to address the problem is to recruit a high performing PhD student to embark on a psycho-biological, mixed-methods programme of research that has the following aim: Develop a feasible, acceptable, efficacious