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for applications. The ideal candidate would be a PhD in geophysical sciences, computer science, or machine learning with experience in developing and verifying deep learning-based models for large dynamical systems
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Job Requirements REQUIRED: PhD in a field of quantitative science; strong background in machine learning and signal processing; experience with and commitment to rigorous and reproducible
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epitaxy, electrocatalysis and electrochemistry, surface characterization with spectroscopy or electron microscopy, operando spectroscopy, electrochemical scan probe microscopy, and machine learning
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join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside
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. The ideal candidate will possess not only a deep conceptual understanding of neuroscience but also advanced technical expertise in machine learning, artificial intelligence, and data modeling approaches. We
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Position Description Duke University invites applications for a Postdoctoral Associate position in Statistical Science under the mentorship of Professor Eric Laber. This position will be involved
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expertise in mathematical modelling, computational biology, scientific computing, machine learning, immunology, or systems pharmacology, and offers the opportunity to contribute to clinically relevant
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learning applied to scientific research. Required Applications Materials Why join Berkeley Lab? We invest in our postdoctoral scholars by offering benefits and resources designed to support your well-being
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years or longer lab experience Strong programing skills Machine learning and deep learning modeling Expertise in 3-D motion capture systems and biomechanical modeling (OpenSim, Visual 3D, Anybody) Strong
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and application of advanced computed tomography methods, with a focus on photon-counting CT, quantitative image analysis, and machine learning. The position will involve work across several NIH-funded