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Simons Collaboration on the Physics of Learning and Neural Computation | California City, California | United States | 2 months ago
Position Description The Simons Collaboration on the Physics of Learning and Neural Computation is searching for postdoctoral fellows at Stanford to perform scientific research on AI, working in
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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Details Title Postdoctoral Fellow in Imaging Approaches to Measuring Brain Energetics School Faculty of Arts and Sciences Department/Area Human Evolutionary Biology Position Description We seek a
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Magma Research Associates / Magma Research Fellows to develop and maintain the Magma computer algebra system (http://magma.maths.usyd.edu.au/magma/ ). These positions are based at the University
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, Siemens MR IDEA Image Calculation Environment (ICE), Python and MATLAB, and deep learning techniques are considered assets A strong publication record demonstrating research excellence. A minimum of one
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Details Title Postdoctoral Fellowship in Differentially Private Learning and Replicability School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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that will be collected. You will also have the chance to contribute to tackling unique image processing challenges in whole-brain 3D light-sheet microscopy data. The successful applicant will be a member of
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The National Institute of Education invites suitable applications for the position of Research Fellow on a 9-month contract (part-time) at the Science of Learning in Education Centre . Project Title
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such as Python and/or R, with experience analyzing large-scale molecular, clinical, or biomedical datasets. Experience developing or applying machine learning, statistical modeling, or artificial
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that will be collected. You will also have the chance to contribute to tackling unique image processing challenges in whole-brain 3D light-sheet microscopy data. The successful applicant will be a member of