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- based intervention services to individuals at CHR-P, and receive clinical supervision This an excellent opportunity for those interested in a career that combines clinical research and program development
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The NSLS-II is seeking an exceptional Postdoctoral Research Associate to join a collaborative research effort on developing novel methods, applicable for extreme ultraviolet lithography (EUVL
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industry. The goal is to promote inclusive economic growth in the region and the development of a diverse and resilient supply chain for the semiconductor industry. We are looking for a Postdoctoral
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, perform statistics on soil test correlation and calibration datasets, and develop presentations and manuscripts for publication. This postdoctoral research scholar will work closely with the programmer to
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(SEBS) and various other departments, is seeking an outstanding Postdoctoral Associate. The Postdoctoral Associate will conduct specialized research on a collaborative project on the origin, evolution and
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of all research projects, NJ-STEP director and the self study faculty lead, as well as other team members will participate in the decision-making process for developing the final design of the analyses
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
Postdoctoral Trainee - Carolina Cancer Nanotechnology Training Program (Postdoctoral Scholar) Vacancy ID PDS004223 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC
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own choosing. Be supervised by at least one senior scholar who actively promotes the postdoc's professional development. Establish an individual development plan (IDP) that incorporates equally the
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, with a strong emphasis on deployment in real-world clinical environments. We study how clinicians interact with technology and develop tools that are practical, intuitive, and aligned with clinical needs
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research program. The research is expected to be in one of several broad areas: statistical machine learning, statistical problems in AI, large language models, etc. Successful candidates will prepare and