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etc; Candidates with multidisciplinary backgrounds are welcome. · Strong skills in computational and data analytical methodology development and implementation; experience in machine learning and deep
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, 3-D dosimetry, oncologic and biological imaging, automatic treatment planning, radiomics and deep-learning, modeling of radiation damage for normal tissues and of tumor control using radiation
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array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ PREFERRED QUALIFICATIONS Master’s degree with quantitative focus preferred. Additional
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. · Promote excellence across undergraduate, master’s, and PhD programs, emphasizing experiential learning, data-driven pedagogy, hands-on design, and interdisciplinarity. · Cultivate a collegial, inclusive