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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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, 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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-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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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
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research, innovation, or economic development Leading projects involving multiple partners, locations, or stakeholder groups Securing and managing funding from public or private sources Building and managing
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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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priorities. Demonstrates ability to integrate organisational strengths and development areas into people plans in response to internal and external influencers. Analytical Thinking - Uses multiple sources
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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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the sustainability of engineering plastics, with a focus on applying fundamental polymer science to industrially relevant projects. As we are recruiting for multiple roles, expertise in mechanical recycling, chemical