341 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM"-"L2CM" Fellowship positions in United Kingdom
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- University of York;
- University of the West of England
- York St John University;
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Field
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robotic systems development experience. If you are interested to develop autonomous robotic systems that can self-reconfigure or self-repair to minimise the maintenance effort, you are most welcome to apply
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internationally renowned research programmes in drug development, gastroenterology, haematology, HIV, immunology, neuroimaging, neuromuscular diseases and vaccinology. The Andrews lab is a new addition to the IDRM
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Obstetricians at Liverpool Women¿s Hospital with broad ranging interests in all aspects of obstetric care from development of new technologies through to randomised trials of complex interventions. The successful
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, climbing wall, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and
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, climbing wall, cycle circuit, and sports halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and
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relevant to industry demands while working on innovative projects within the university. The primary responsibility of this role is to contribute to the design, development, and deployment of an advanced
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sequence or structure analysis, machine-learning method development, and modern software engineering practices. They should be proficient in Python and Linux-based development, familiar with deep learning
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to join an interdisciplinary team delivering a digital oral health research project. The post will contribute to the development and evaluation of trustworthy AI approaches that support high-quality
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work on development of particle identification and tracking detectors, including simulation and design aspects, and on research and development of photon detectors in the context of the DRD4
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward