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the FMS Technology Enhanced Learning (FMS TEL) team, developing innovative technologies for the delivery of learning and teaching, in the Faculty of Medical Sciences, across the university, and for
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) to learn about modelling, resilience and RD metrics, starting at M21 The successful candidate will join an interdisciplinary cohort of doctoral researchers and benefit from ReDiLEEP training in response
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and wellbeing initiatives to support you. Our IT Service exists to deliver an excellent service for its users, enabling world-class teaching, learning, and research at Newcastle University. We
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possible renewals, a cumulative period of four years of research fellowship intended for doctoral students. Preferential factors: Research experience in the areas of Bioinformatics and Machine Learning
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Take responsibility for identifying own learning needs, including identifying appropriate courses to ensure up to date knowledge in the funding streams available to support translational research, as
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Experience of following safe practices in the workplace General laboratory experience (Desirable) Experience of, or willingness to learn how to work with deceased (Desirable) Attributes and Behaviour Maintain
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, with applications ranging from scientific research to medical imaging and marketing analysis. With the ever increasing amount of learning data, these algorithms face computational challenges
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teaching and learning activities to support the Biosciences suite of programmes. There will also be opportunities to contribute to other UG and PG degree programmes within the School. As well as developing
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the Director of Medical Studies to manage the delivery of the MBBS primary care teaching within the Regional Medical School to ensure equality of teaching, learning, assessment and support for all
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the