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-cell transcriptomics, or spatial tissue profiling data, and are keen to develop new methods, for example using machine learning. You have a proven track record of independent research funding and high
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to develop new methods, for example using machine learning. have a proven track record of independent research funding and high quality publications. have at least 5 years of post-PhD work experience
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and behavioural speech features. Integrate neuroimaging, speech and clinical data using multivariate and machine-learning approaches (e.g. UMAP). Investigate the effects of deep brain stimulation
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machine-learning approaches (e.g. UMAP). Investigate the effects of deep brain stimulation on speech production in relation to individual connectivity profiles. Coordinate closely with clinical
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expertise lies in machine learning, artificial intelligence, data mining, signal processing, or statistical modeling, with an interest in applying these skills to ocean science. You have strong organizing
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an accurate overview of the state of the art (intersection of urban planning, VR experiments, digital twining, big data and machine learning) and recent developments in this field of study in academics and