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Field
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Research Scientific Computing Center (NERSC ) at Berkeley Lab seeks a highly motivated Postdoctoral Researcher -- Scientific Machine Learning (NESAP) to join the Workflow Readiness team as part of NERSC's
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, that of the fruit fly Drosophila melanogaster. The Institute is a key performer in the NIH BRAIN CONNECTS program, which aims to scale connectomics up to the whole mouse brain. Responsibilities Preparation of EM
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, high field and pulsed EPR, CD, femtosecond laser spectrometers, microscopes, FTIR spectrometers, steady state and time resolved emission laser spectrometers, molecular graphics, and parallel computing
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chart the experiment’s roadmap and technical framework, execute the development program, and translate research outcomes into an integrated construction strategy and reference design for Cosmic Explorer
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principles, techniques and systems. Computer Science Department Founded in 1965, the Stanford Computer Science (CS) Department continues to lead the world in computer science research and education influencing
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at ORNL! This position resides in the Emerging Technologies & Computing team in the Research Computing group in the Information Technology Services Directorate at Oak Ridge National Laboratory (ORNL
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Public Health major, guiding them in major content related choices, such as upper-level major course selection, choosing pre-requisite courses in preparation for a graduate program, and career
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research program investigates the microenvironment/niche of human limbal stem cells to elucidate those factors that govern the fate of limbal stem cells and pathophysiology of limbal stem cell deficiency
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, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint appointment with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
. Cellular and molecular biology experiments include human induced pluripotent stem cell (hiPSC)-derived models and high-throughput genomic library generation. This will require generating massively parallel