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Biotechnical and Clinical Laboratory Sciences Posting Number R250148 Posting Link https://www.ubjobs.buffalo.edu/postings/59177 Employer Research Foundation Position Type RF Professional Job Type Full-Time
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to: Dr. Clarimma Sessa Head of the insiTUMlab – Analytical Infrastructure for Non-Destructive In-Situ Studies of Cultural Heritage, Chair of Conservation-Restoration, Art Technology and Conservation
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" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary Investigate how genetic and environmental factors contribute to brain development and
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collaborators in material science. The developed technologies will be utilized to develop digital twin and soft robot-assisted simulations in the areas of brain machine interaction, wearable haptics, and
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of Minnesota. The CNS lab is a multiple PI-led research lab focused on brain and behavioral development in neurodevelopmental disabilities with a significant grant funding portfolio across multiple departments
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made to academic departments with the approval of the department head and may require senior officer approval. Appointments are usually for not less than one term and are normally not renewed beyond a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Associate position is available in the Brain-Spine-Machine Interfaces laboratory directed by Dr. Amol Yadav at the University of North Carolina at Chapel Hill. The lab is housed in the Joint Department
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made to academic departments with the approval of the department head and may require senior officer approval. Appointments are usually for not less than one term and are normally not renewed beyond a
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made to academic departments with the approval of the department head and may require senior officer approval. Appointments are usually for not less than one term and are normally not renewed beyond a
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of gerontology: https://gero.usc.edu( opens in new window) The Irimia Laboratory leverages neuroimaging, neurogenomics, and deep learning to study the aging brain in health and disease, particularly in