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their main contacts will be Prof. Daniel Doherty and Prof. Gavin Lotay. Interviews will be held on Monday 22nd of September. Surrey provides a range of training and development opportunities for its staff
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of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience of C/C++/C#, TensorFlow would be beneficial
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, with opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised
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in childhood where chemotherapy induced pain can lead to alterations in the development and maturation of both peripheral and central nervous systems, which can result in long-term changes in neuronal
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of engaged research initiatives and of developing structures and systems in line with stakeholder requirements To be successful at shortlisting stage, please ensure you clearly evidence in your application how
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Develop skills and networks to become a successful independent researcher, including through grant writing, independent papers, consulting, trainings The skills, qualifications and experience required
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to enhancing workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all genders/gender identities, Black, Asian
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development and evaluation frameworks, particularly RE-AIM, and behavioural science tools (e.g. Behaviour Change Techniques (BCTs); Theoretical Domains Framework), and knowledge of the Making Every Contact
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members of the Walls laboratory team, leadership and management skills regarding laboratory resources and professional development through the QUB Postdoc Society. In summary, this position will be ideal
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, as well as develop methodological research to further advance the sciences of improvement and implementation and thus achieve better patient experience and outcomes of care more rapidly within the NHS