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Research Technician (Technician III) The Roeder Lab, Weill Institute for Cell and Molecular Biology The Opportunity Dr. Adrienne Roeder’s research group at Cornell University (https
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in undergraduate and/or graduate level courses in Computer Engineering or any related areas • At least one year of Postdoctoral experience especially in the following areas: Networks and Systems
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., multispectral imaging) and computational tools such as machine learning or AI into research workflows. Strong project management skills, including planning, milestone delivery, and working with industry partners
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compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description The Anatomy Department is a basic science department within the School of Medicine
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responsible for washing and storing glassware. Ensures that safe laboratory practices are followed, including the use and disposal of chemicals and hazardous materials. Analyzes data using computer software and
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opportunity for a postdoctoral researcher to contribute to a high-quality in vivo research programme in stem cell and vascular biology with direct relevance to tissue regeneration and inflammatory disease. Led
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outstanding opportunity for an optical engineering-focused Postdoctoral Scientist to join the lab team of Dr. Cristina Rodriguez, Freeman Hrabowski Scholar , based in the Department of Biomedical Engineering at
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State University of New York University at Albany | Albany, New York | United States | about 9 hours ago
, AI, and quantum information processing. Requirements: Minimum Qualifications: A terminal doctoral degree (PhD or equivalent) in physics, computer engineering, or related field from a college or
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attractive startup package tailored to grow your research program. Our investigators are part of a bold, multidisciplinary community where discovery and translation are core to advancing science and improving
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imaging, spatial data analysis, and machine learning. One arm of the project will seek to engineer diverse quantitative features (e.g., adapting concepts and metrics from network science [5] to characterise