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Summary: Duke University is a world-renowned research institution. Currently, we are looking for a Postdoctoral Associate with expertise in deep learning to participate in a research program focused on
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. ● Willingness to learn new technical skills, including editorial management software, XML markup, and metadata standards. Preferred Qualifications ● Subject expertise related to the journal’s focus (care work
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discoveries made in the laboratory with meaningful improvements in patient care. You will be part of a research environment that values curiosity, creativity, scientific rigor, and continuous learning while
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backgrounds in adjacent areas and a firm commitment to learning glycobiology approaches are also encouraged to apply. Interested candidates should include a CV, brief statement of research interests, and
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. Knowledge of survival analysis. Knowledge of machine learning methods. Other Requirements Application materials must include: Curriculum Vitae (CV) Statement of research interests Names of three professional
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to expand your expertise or a new graduate eager to build a strong foundation, you'll find exceptional learning opportunities, supportive mentorship, and a team committed to delivering world-class patient
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multidisciplinary team members and the broader scientific community. Contribute to a culture of innovation, collaboration, and continuous learning. Support Research Excellence Adhere to all institutional requirements
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established skills and a strong aptitude to learn new skills. Communication · Fluent in English (reading, writing, and speaking). · Proficient in giving scientific presentations, with demonstrated experience
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to excellence in research, education, and patient care. Learn more about Duke University's competitive benefits package. Research Areas Include Immune mechanisms of response and resistance to glioblastoma
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independent scientific reasoning and problem-solving Learn and apply new experimental technologies and methodologies Contribute to high-impact research advancing lung biology and disease understanding Choose