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Field
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both as part of a team, and independently, coupled with excellent communication, organisational and problem-solving skills are essential to this role. More information on the role and person
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useful information for a further clinical trial using combined therapy. Ultimately, the translational potential of these findings could markedly improve public health outcomes and quality of life
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interviews commencing 1, 4 and 5 August. For further information on how to apply, please click the ‘Apply’ button above or email pgradmissions@bournemouth.ac.uk
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and empathic behaviours most effectively improve patient outcomes. In this role, you'll conduct NMA, perform data analysis, and contribute to research output. Your work will inform future NIHR funding
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-time senior women’s players. The candidate will be responsible for all aspects of the research project, including obtaining ethical approval, data collection and dissemination/communication of research
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will provide training in nanomaterials synthesis, soft matter physics, X-ray scattering, and data-driven experimental design. The student will gain expertise in an emerging area of colloidal science
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, machine learning, and information-theoretic approaches to achieve robust, non-intrusive security for the ever-expanding IoT landscape. Feature Engineering for Encrypted Traffic: It is crucial to identify
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solutions are not yet evident. There are several aspects that should be considered: The level of AI sophistication in terms of decision-making autonomy and human-machine teaming. The use of logic and data
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key area of patient safety that can be improved with the use of computer vision approaches to system analysis. For many clinical procedures there can be multiple deviations in service delivery, which
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essential for candidates to hold a driving licence (incl. an international licence) as the role involves some field sampling around the UK. For further information please contact: Dr Tao Lyu and Prof Bruce