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to deliver defibrillators. Collecting and analysing qualitative and/or quantitative data across multiple work packages. Working closely with 999 call handlers, drone operators, public contributors, and
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Funding team. You will be experienced in working across multiple teams, meeting tight deadlines, and taking the initiative to support day-to-day tasks effectively. You should have experience with Microsoft
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, 2025), Science Immunology (2023, 2024), Molecular Cell (2025), Cancer Discovery (2019), JEM, PNAS, and Trends in Immunology. Dr. Ma’s research has been recognized with multiple national and institutional
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mathematical modelling tools. Excellent knowledge of programming languages such as R, Python, Julia, etc. Familiarity with AI algorithms and Machine Learning Fluent oral and written communication skills in
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team to develop integrated control algorithms for autonomous cubesatellite formation flying. The controllers that will be developed during this project will differ from previous work on this topic by
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research has been funded by multiple NIH R01 grants and industry grants with awards from AAPM and ASTRO. Dr. Ren is a Fellow of AAPM. Details about Dr. Ren’s profile can be found at the following link: https
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to deliver defibrillators. Collecting and analysing qualitative and/or quantitative data across multiple work packages. Working closely with 999 call handlers, drone operators, public contributors, and
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Instructions: The position is funded for multiple years, with an initial one-year appointment and the expectation of extension contingent on satisfactory progress. Start dates are flexible. To apply, please
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development and grant submission processes. - Excellent organisational, leadership, and communication skills - Strong stakeholder management and collaboration abilities. - Proven ability to manage multiple
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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre