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Science Acceleration Program (NESAP). NESAP postdocs collaborate with scientific teams to enable the solution of deep, meaningful problems across all program areas funded by the Department of Energy Office
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The National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab seeks a highly motivated postdoctoral fellow to join the Data Science Engagement team as part of NERSC’s Exascale
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of scientists and engineers making significant impacts in stride in the fields of materials science and energy. Join our dynamic team at the The Materials Sciences Division , where we are pioneering the future
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Exascale Science Acceleration Program (NESAP). NESAP postdocs collaborate with scientific teams to enable the solution of deep, meaningful problems across all program areas funded by the Department of Energy
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for earth system and climate science. What You Will Do: Develop and apply reactive transport models to quantify weathering rates of silicate amendments at field scale. Integrate diverse data
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We are looking for a scholar with research interests in applications of machine learning to health, interested to pursue a Postdoctoral Fellowship at Stanford University, School of Medicine in Palo Alto, California. The Scholar would work on a project with a team of Stanford faculty with...
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of climate change. The position is geared for a recent PhD graduate with interest in collaborating across disciplines, and expertise in remote sensing, spatial data analysis, machine learning and computer
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. Eligibility Criteria: We invite scholars who have recently completed a Ph.D. in a relevant discipline such as biostatistics, computer science, data science, health economics, health policy, or public policy
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The Human Motor Control and Neuromodulation Lab is part of the Stanford Movement Disorders Center within the Department of Neurology and Neurological Sciences at Stanford University School
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understand the effects of inflammation on intestinal epithelial barrier function. We incorporate electrophysiology, molecular biology, biochemical and imaging approaches to better understand epithelial barrier