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position is a 12-month appointment with the possibility of renewal contingent upon satisfactory performance and the availability of funding. Minimum Qualifications: Education: PhD in the Biosciences or an MD
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in vivo mechanotransduction. Investigate RNA-mediated processes governing cellular responses to mechanical cues. Utilize advanced molecular and imaging techniques to study RNA localization and function
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Post-Doctoral Fellow - 35442 Faculty Description University of Colorado Anschutz Medical Campus Department: Orthopedics Job Title: Post-Doctoral Fellow Position #00828725 – Requisition #35442 Job
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. Additionally, the position offers opportunities to work on brain imaging studies aimed at understanding the neural basis of cannabis and cannabinoids dependency. YC-SCAN² is currently conducting several NIH
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protected and open field cultivation systems Use lab and field equipment (ICP, HPLC, gas exchange analyzer, soil/root/plant sensors, chlorophyll fluorescence, etc.), data loggers and image processing tools
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in real-world environments. Position Description: The CFN is seeking a talented Postdoctoral Research Associate to conduct novel research investigating 2D material heterostructures for developing steep
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students, outreach, and other departmental activities. Qualifications Applicants should have completed requirements for a relevant PhD before the start date. This full-time position is for up to 3 years (2
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investigators. Position Requirements Ph. D. in theoretical or physical chemistry, or a related field Extensive experience in one or more of the following areas: Computational modeling of homogeneous
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. Additionally, the position offers opportunities to work on brain imaging studies aimed at understanding the neural basis of cannabis and cannabinoids dependency. YC-SCAN² is currently conducting several NIH
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Experience Requirements Applicants should have (or expect to receive before the start of the position) a PhD in Computer Science or EE/ECE on a topic in machine learning, artificial intelligence, natural