28 modeling-and-simulation-post-doc Postdoctoral research jobs at University of London
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About the Role The combination of personalised biophysical models and deep learning techniques with a digital twin approach has the potential to generate new treatments for cardiac diseases. Our
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
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About the Role The post is based in the Trauma Sciences Research team within the Centre for Neuroscience, Surgery and Trauma. The Trauma Sciences research team (www.c4ts.qmul.ac.uk) provides
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/) The post holder will have two main responsibilities. From one side, they will collaborate closely with wet lab scientists in our team and analyse mutational and transcriptomic data coming from experiments
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-edge machine learning techniques will be used, including Large Language Models (LLMs). About Queen Mary At Queen Mary University of London, we believe that a diversity of ideas helps us achieve the
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potential applications in audio and music processing. Standard neural network training practices largely follow an open-loop paradigm, where the evolving state of the model typically does not influence
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About the Role This new post will be at the forefront of interdisciplinary medical research contributing to the design-led development and evaluation of patient-centred risk-communication tools
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View All Vacancies Department of Drama, Theatre and Dance Location Egham Salary £40,839 to £48,003 per annum pro rata - including London Allowance Post Type Part Time Hours per Week 10.5 Weeks per
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and Immigration website . Full-time, Fixed Term (12 months) Applications are invited for the post of Postdoctoral Research Associate in the School of Humanities. Inclusive Histories is a collaborative
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and Immigration website . Full-time, Fixed Term (12 months) Applications are invited for the post of Postdoctoral Research Associate in the School of Humanities. Inclusive Histories is a collaborative