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to launch impactful careers. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ . Key
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Deep Learning libraries (e.g., Pytorch, Tensorflow, Keras) will be considered a significant advantage; Previous experience in image processing and\or computer vision will be considered an advantage
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 25 days ago
in computational biophysics/chemistry and drug design. The researcher will conduct research to forward the developments of biomolecular modeling and computer-aided drug design. The researcher will also
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
biophysics/chemistry and drug design. The researcher will conduct research to forward the developments of biomolecular modeling and computer-aided drug design. The researcher will also be engaged in developing
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in the United States. Preferred methodological skills include statistical analysis of survey and other large-n data, qualitative interviews, and/or text analysis and machine learning skills
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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About the Opportunity This job seeks a postdoc to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: Developing machine
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biology, preferred. Background in immunology or cancer biology research preferred. Experience with mouse colony management and mouse experiments in vivo is highly preferred. Computer literacy with
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feed into this vision. The intended start date is July–August 2026. Job requirements PhD in machine learning, artificial intelligence, computational chemistry, computational materials science, or a
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of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment