620 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" Fellowship positions in United Kingdom
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Field
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models
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. This is for a two-year contract until 30/09/2027 to develop and carry out field trials; survey remote sites; install instruments, data loggers and transmission systems; and analyse and interpret data. We
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% super Develop automated workflows & collaborate with industry partner Apply now to join our dynamic research group and contribute to the development of high-throughput quantum chemistry workflows
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models
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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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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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on relevant issues, and developing tomorrow’s researchers. The overall purpose of this role is to support the NIHR funded research project that aims to generate a comprehensive understanding of career
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funding Develop and make contributions to knowledge transfer, enterprise, business engagement, or similar activities at Department/School level or further within the University Main Duties
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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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translation of innovative miniature, hair-thin imaging devices we have previously developed (doi.org/10.1117/1.JBO.29.2.026002 ). These devices are designed to enable early and accurate detection of cancerous