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protein biochemistry will be favored and is desirable, but not a requirement. Communication and interpersonal skills are valued in order to work in a young, dynamic, diverse, and collaborative environment
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of communications and marketing, and take initiative in a professional environment that encourages learning and innovation. What You’ll Do: Collaborate directly with your sponsor and their team on communications and
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methodologically driven research environment. The position emphasizes the development and application of advanced analytical approaches to address fundamental questions in cancer disparities, while building a strong
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such as Python and/or R; experience with high-performance computing environments is a plus. Demonstrated expertise in one or more of the following areas: machine learning/AI, single-cell analysis
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of the Environment Additional mentors include: - Mark Borsuk, Department of Civil & Environmental Engineering, Pratt School of Engineering - Lydia Olander, Nicholas Institute for Energy, Environment & Sustainability
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field. Strong programming skills in languages such as Python and/or R; experience with high-performance computing environments is a plus. Demonstrated expertise in one or more of the following areas
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mentors include: • Tong Qiu, Environmental Natural Sciences, Nicholas School of the Environment • Martin Doyle, Environmental Social Systems, Nicholas School of the Environment • Nathaniel Chaney, Civil and
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automation, timing analysis, or circuit optimization; Experience with semiconductor design tools and research software development; Ability to work collaboratively in a multidisciplinary research environment
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Postdoctoral Associate in the Jiaoti Huang Lab, you will join a collaborative, discovery-focused research environment dedicated to understanding and transforming prostate cancer metabolism. Your expertise
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collaborative and interdisciplinary environment with access to state-of-the-art radiochemistry facilities and imaging infrastructure. The position offers opportunities to contribute to translational research