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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
on the beautiful North Carolina Research Campus (NCRC) in Kannapolis, NC , a mid-size city with a small-town feel. The institute is within walking distance of the city center which includes shops, restaurants, a
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for nutrients and algal toxins, and household survey data. The additional integration of remote sensing data is also highly desirable. The postdoctoral fellow will pursue established questions, and will also have
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experience with hydrology/water quality field research. Experience with CAD software, GIS, and hydrologic/hydraulic modeling. Practical knowledge of Ohio agriculture. Strong interpersonal and communication
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Hematology General summary: This is a Researcher 1 position in the laboratories of Brad Blaser, MD, PhD (75%) and Amanda Toland, PhD (25%) at The Ohio State University. The position involves 25% lab
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for nutrients and algal toxins, and household survey data. The additional integration of remote sensing data is also highly desirable. The postdoctoral fellow will pursue established questions, and will also have
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challenges. We have offices located at the NBC Tower in the heart of downtown Chicago and remote employees who work-from-home. Globus, together with Globus Labs, a research group within the University
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Professor that will be capable of contributing to multiple ongoing research projects in the lab. Potential projects include, but are not limited to, oceanographic characterization of deep-water habitats, GIS
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. Candidates with background knowledge and hands-on experience in mouse models, proteomics, 3D organoids, primary cell purification, and culture skills are particularly welcome. Requirements: A PhD or MD/PhD
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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Qualifications* Requires PhD degree in Statistics + 2 years of experience supporting pain research: using statistical methods, including latent profile/class analysis, multivariate analysis, longitudinal models