7 machine-learning "https:" "https:" "https:" "https:" "https:" research jobs at University of Oxford
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the sequence of the human genome and the development of common diseases. You will work on a collaborative project that aims to develop Machine Learning and laboratory-based approaches, for decoding how the human
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to undertake analyses of neuroimaging measures, apply machine learning approaches to clinical and neuroimaging data, the development of clinical services, the conducting of meta-analyses, and the analysis of pre
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. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus. You will join an interdisciplinary team of researchers spanning imaging science, machine learning
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experiments for investigating the neural mechanisms underlying habitual behaviours and learning adaptation to uncertainty. You will use fMRI and neurostimulatory techniques (ultrasound neurostimulation and/or
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, learning under uncertainty) that is of an international standard, and that is carried out expertly, rigorously and in accordance with ethical guidelines. You will also participate actively in the lab
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will have a background in contemplative neuroscience and experience with machine learning approaches such as support vector machines, gradient boosted trees, or convolutional neural networks. A Master’s
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and Neumora ( https://neumoratx.com ), funded by the Michael J. Fox Foundation. You will perform neuronal differentiation and phenotypic testing in human induced pluripotent stem cell (iPSC)-derived