9 condition-monitoring-machine-learning Fellowship positions at The University of Southampton
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: Erlangen Programme for AI” This is a 5-year programme supported by the EPSRC and is a collaboration of mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead
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with physical objects/environments, and audio rather than video based AR can help enhance memory/learning Humanizing Computer Mediated Communication: Synthesizing co-presence - What does it mean to feel
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: Genomics, precision medicine, bioengineering, and health data science AI and Digital: Machine learning, robotics, digital health, and cybersecurity Defence and Advanced Manufacturing: Secure systems
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in distributed database systems, information retrieval, computer networking or semantic web. The post does not involve working outside of the UK for over 30 days in a row or over 90 days in a year. For
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responsible for maintaining high quality research procedures and will work as part of the team and liaise with three recruiting sites in setting up the study, monitoring participant recruitment, data collection
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under real-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration
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We are looking for an excellent communicator and researcher in the area of chronic pain, with substantial experience working with people from minority communities and those with health conditions
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disabled people. As a Disability Confident employer with bronze Athena SWAN recognition (University Silver Award status), we demonstrate sustained commitment to creating equitable opportunities across all
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facilities and a range of discounts. Learn more about ECS at: https://talentedu.com/ecs/ We strongly encourage interested candidates to contact Dr. Shelly Vishwakarma (s.vishwakarma@soton.ac.uk ) to discuss