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in preparation for a full time academic or research career. Associates will be co-mentored by PhD faculty with extensive technical experience with machine learning and deep learning. Lab website:https
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method for analysis of behavioral and imaging data (e.g. computational modeling, machine learning, mixed-models) Strong background in neuroanatomy and neurobiology Interest in translating basic science
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-results · Proficiency in programming languages commonly used in computational biology, such as Python, R, or C++ · Experience with machine learning and deep learning methods · Excellent communication and
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bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Jan 2024 or later. The ideal candidate will develop novel statistical and machine learning methods
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Bayesian modeling and machine learning using large longitudinal biomedical data, including electronic health records and mobile health data. The position will be funded by Samuel I. Berchuck, PhD who holds
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technical experience in various areas related to machine learning, deep learning, clinical pathology, medical image analysis, etc. The initial appointment will be for 1 year, full-time, with opportunities
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program in pulmonary and transplantation research. It is located in Durham, North Carolina. Position Description: This position is to develop and apply innovative statistical, computational, and machine