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Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork
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of criminal background check required: Name-based criminal background check (non-security sensitive) Number of Vacancies 1 Target Hire Date Expected End Date Contact Information for Candidates Office of Talent
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at 1.0 full-time equivalency (FTE) Type of criminal background check required: Name-based criminal background check (non-security sensitive) Number of Vacancies 1 Target Hire Date Expected End Date Contact
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Project Overview The DiSTAP programme addresses deep problems in food production in Singapore and the world by developing a suite of impactful and novel analytical, genetic and biosynthetic
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experiments within the Pediatric Brain Tumor Research Program. This position will be responsible for evaluation and analyzing large sequencing and multiome data-sets. Baylor College of Medicine typically
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the U.S. achieve energy goals. ESIA develops, deploy, and advances grid technologies that ensures a robust and secure U.S. grid transmission and distribution system. ESIA also collaborates with government
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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to an affordable and secure energy future. Spanning foundational science to applied systems engineering and analysis, we focus on solving complex challenges to deliver advanced, secure, reliable, and cost-effective
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 22 hours ago
Posting Description POSTDOCTORAL ASSOCIATE, Center for Biomedical Innovation, supports an ARPA-H program developing a platform for continuous manufacturing of extracellular vehicles (EVs). EVs
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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive