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) and Modelling with strong quantitative skills to take up a significant role in the delivery of two prestigious programmes: the Newcastle NIHR Technology Assessment Group and the NICE External Assessment
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the post may be made to Dr Gill Norman (gill.norman@ncl.ac.uk) or Dr Gurdeep Sagoo (gurdeep.sagoo@ncl.ac.uk ). Key Accountabilities Contribute to the leadership of the TAR programme, delivered by a
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work on the INSTINCT-MB programme, which brings together teams based at Newcastle University, The Institute of Cancer Research and University College London. The programme will generate a wide range of
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Knowledge, Skills and Experience Proven experience with machine learning model design and implementation, particularly in computer vision tasks (image classification, object detection) Strong programming
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. Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. Experience deploying machine learning models on edge platforms (e.g., NVIDIA Jetson, Raspberry Pi, ARM Cortex
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Research grant. You will work as part of a collegiate and ambitious research team. You will have opportunities to travel to dental practices and explore different models of care to understand what works, for
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future programme development team models ensuring issues arising are captured and communicated to the correct team for action Provide effective administrative support to the Programme and Change Manager
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Student Health and Wellbeing Team and other services where necessary. Proactively promote the Residences Life model to support and encourage learning, relationships, and community engagement. Support the
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challenges in cyber-resilient edge computing. If you are keen to apply your skills to impactful research and want to contribute to the next generation of trustworthy AI systems, we would love to hear from you
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EU research centres based in Utrecht, Lisbon and Genoa. During this project you will: Gain valuable experience in the production of fully differentiated primary human airway models derived from people