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will develop novel machine learning and artificial intelligence (ML/AI) methods for genomics data, especially: large-scale single-cell genomics data, high-definition spatial genomics, digital pathology
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electrophysiological data, wearable sensor data, or other multimodal neural and behavioral datasets and with advanced statistical or computational methods for neural decoding, motion‑tracking analysis, or physiological
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. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) Preferred Qualifications:. A PhD or MD/PhD (or equivalent) in biological sciences Strong research background in cell biology, molecular biology, mouse models
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collection, and are experts in a variety of qualitative research methods, including in-person, telephone, or web-based data collection; one-on-one in-depth interviews (e.g., qualitative description, concept
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scientists (graduate students and technicians) · Flexing one’s intellectual muscles to think out-of-the box for this difficult-to-cure cancer Required Qualifications at this Level · PhD (or doctoral degree
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degree, but the degree has not been formally conferred; the candidate may present evidence of completion of the degree requirements, together with a statement documenting the date on which the degree is to
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(Harward et al., Nature 2016; Hedrick et al., Nature 2016; Krishnamurthy et al., Ann Neurol 2019). We are particularly interested in developing focused ultrasound as a new method for non-invasively