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Tiny Machine Learning (TinyML). The role will focus on the design and development of battery‑less, ultra‑low‑power IoT systems capable of executing secure TinyML‑based visual perception algorithms
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/algorithmic modelling. Experience with multidisciplinary IoT systems, including low‑power sensor networks and power‑constrained device architectures. Hands‑on experience with experimental testing in
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About the role As a Research Assistant in Statistics and Genetic Epidemiology, you will play a key role in supporting a highly successful and internationally recognised research group. You will
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://cureheart.org/) team at the University of Oxford. CureHeart is an Oxford-led international research programme aiming to develop cures for inherited cardiomyopathies using advanced genetic therapies. As
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number variations, are major risk factors for adverse mental health outcomes. Beyond their clinical importance, they provide powerful human models for uncovering multiscale genetic mechanisms in psychiatry
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at post-embryonic stages. Two genes of interest are adgrg6 (gpr126) and bmper, both of which form models for human disease. Knowledge of the genetic pathway disrupted will allow the student to test