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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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manage use of several varieties of related prototyping machines including tools and machine shop equipment 30% Learn, modify, support and improve departmental packages for programming, Data Acquisition
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of Engineering’s Student Shop is committed to safety, education and teamwork. Our mission and vision are to help each student increase their knowledge in all aspects of the Student Shop. We teach you how to machine
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increased independence of identifying and implementing solutions with some leadership and supervisory activities. (30%) Train predictive models using machine learning approaches and technologies. This might
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requires a Bachelor’s degree in biomedical engineering, computer science, electrical engineering or comparable field of study. Master’s and PhD level will also be considered. Proficiency in Deep Learning and
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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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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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communication skills, a willingness to learn, exceptional problem-solving skills, and actively supports an inclusive and collaborative work environment. This position reports to the Director. We highly encourage
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diverse technology and services portfolio that serves all of DCRI. Stays abreast with all applicable FDA, GCP, PHI and SEI regulations. Ensures compliance with all computer system validation, privacy and