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Field
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of predictive AI models using multimodal data (e.g. time-series signals, neuroimaging, clinical records) for healthcare applications. Contribute to the development of a Digital Twin of the brain's motor system
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participants at the point of this posting. With comprehensive behavioral, phenotypic, and multi-omic data, and electronic health record linkage enriched baseline phenotyping and evaluation of prospective
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, at which time the post holder’s salary will be adjusted to the corresponding point on the new grade. Located in a modern £300M campus in the heart of Birmingham City Centre, England, the School
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from a broad range mammals and to uncover the core gene regulatory network. In this project, signalling environments designed from recent insights will be applied to maintain naïve stem cells generated
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involvement in research activities) in one or multiple areas mentioned above. In addition, we request the following expertise: Convex/non-convex optimization Signal processing and general communications
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for the Centre (e.g. conducting analysis on emerging issues, participating in the policy development process). This opportunity is ideally suited to a doctoral student at an advanced stage of their PhD program who
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professional goals. Along the way, you will engage in activities and research in several area. These, include, but are not limited to: Process and analyze data from various biomechanical sources including
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previous qualifying position PhD Fellow, research assistant, or the like in such a way that the total time used for research training amounts to three years. We process personal data given in an application
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Qualifications For the Level A Industry Research Assistant: Qualification in the relevant discipline area preferably at postgraduate level For the Level B Industry Research Fellow: PhD or equivalent in relevant
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. Mandatory Qualifications For the Level A Industry Research Assistant: Qualification in the relevant discipline area preferably at postgraduate level For the Level B Industry Research Fellow: PhD or equivalent