116 algorithm-development-"Multiple"-"University-of-California,-Santa-Cruz" positions at University of Leicester
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leading role in developing and innovating curriculum content, ensuring inclusivity, sustainability, and alignment with professional standards, while actively enhancing the student experience. In addition
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required to develop an understanding of colleagues’ workloads and priorities to ensure a continuous and seamless service to the Group is provided at all times. You will possess the high standard
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the School’s supportive learning environment. This role also includes contributing to curriculum development, integrating new technologies into teaching practice, and participating in the wider academic life
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advantageous though not essential as full training will be given. We have a dedicated training team that supports and develops staff skills. You must have good communication skills and be able to engage with
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, including contributing to the development of funding applications or protocols within their area of expertise, coordinating participant visits, and leading other measurements of cardiometabolic health such as
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residential estate and conference and events team operations. You will work closely with the Residence Life Manager to ensure the professional delivery and development of all customer-facing operations. Your
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to respiratory health. You will work within an interdisciplinary environment, co-ordinating management of complex clinical data, developing and optimising AI modelling techniques, and contributing to high-quality
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Field) course is one of the most innovative programmes in the UK and aims to develop the next generation of nurse leaders. The four year pre-registration dual qualification course is one of the first in
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lifestyle research program whilst being supported to develop their own research to broaden the scope of the research team including the development and delivery of new research activities. The University
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will work under the supervision of Professor Lily Yao. You will support systematic reviews, manage large datasets, conduct economic analyses alongside clinical trials, and develop decision-analytic