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deep learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows
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this role, you will work as part of the world-class team of researchers and software developers within the PSS team to develop all or some of firmware, software and algorithms for pulsar and fast transient
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, and use smart phone apps to collect passive and active data using a prospective observational cohort study design. We will use this data to develop and validate a personalised risk prediction algorithm
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, post-docs and interns collaborating across universities to build better algorithms, software tools and benchmarks to assess the safety of AI implementations at the software and hardware level. We
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lab. Key Responsibilities Main Duties: Develop teleoperation interface with a robotic manipulator to facilitate human-robot interaction in remote handling. Design robot impedance control algorithms
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-ordinate multiple stakeholders both at The University of Manchester and with other external education and health organisations requiring the ability to collaborate with colleagues at all levels. Experience
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multiple members of the project team. This includes core administrative tasks linking with internal finance teams, the trial sponsors team, the clinical site, external clinical monitoring teams, contracts
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the project and ensuring its timely completion. An ability to work to deadlines, be task focused and demonstrate excellent organisational skills and confidence in dealing with multiple tasks within a
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for those who wish to gain experience in the field of change management. In this role you will be supporting the work of one of the Business Change Managers across multiple projects within the RLP. The role
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will play a major role in supporting the administration within the portfolio, working closely with Prof Frangi and the Programme Manager and will involve working proactively with multiple teams in