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interpretable deep neural networks is required. Candidate must have published in top journal and conference at least one scientific paper in interpretable machine learning (not explanations of black boxes) among
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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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this positions should have obtained, at the time of the position start date, a Ph.D. degree in biological sciences. Candidates should have a record of first-author publications in high-quality scientific journals
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for renewal for a subsequent year contingent on performance. The anticipated start date is June 1 or soon thereafter. Minimum requirements: • Ph.D. or equivalent doctoral degree in environmental engineering
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collaborative and methodological publications in high- quality, peer-reviewed journals. Qualifications: Candidate must have the following: a doctoral degree in statistics or biostatistics; solid training in
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collaboration with statistical and medical investigators, the successful candidate will possess these qualifications: Doctoral degree in Statistics, Biostatistics, or related fields Strong interest in developing
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. We are a highly collaborative group and funding is available to support the ideal candidate for at least 3 years. Duke is an Equal Opportunity Employer committed to providing employment opportunity
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. The postdoctoral fellow, under the mentorship of Dr. Sheng Luo (https://scholars.duke.edu/person/sheng.luo ), is required to work on at least one of these objectives. The application areas include neurological
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available immediately. Start date is flexible for doctoral candidates completing degrees in summer of 2025. WORK LOCATION: Work takes place in Durham, NC Candidate must be legally authorized to work in the