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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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You'll Bring Required Qualifications PhD or equivalent doctoral degree (ScD, MD, DVM, or related terminal degree). Strong background in one or more of the following: Computer Vision Machine Learning
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. The Di Talia lab at Duke University School of Medicine seeks a highly motivated postdoctoral research fellow for a fully funded position in our lab. Minimum Requirements: PhD in a Cell Biology
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well as from a range of energy sector experiences. We will consider applications from those completing or recently completing a PhD or other terminal degree, if they have industry, government, consulting
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research program; teach and mentor students at the undergraduate and graduate levels; and contribute to the department’s intellectual community and service mission. The positions' start date is July 1, 2027
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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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. The successful applicant will possess a PhD or equivalent doctoral degree in the social sciences, including political science, public policy, political ecology, law, geography or another relevant field with some
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and approach to fostering an inclusive learning and mentoring environment for their students; and three reference letters. Qualifications: PhD or equivalent in relevant field. Duke is an Equal
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Academic credentials: PhD in ecology, biology, statistics, computer science or engineering, or oceanography with a strong quantitative analysis background, particularly in species distribution modeling
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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