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leader • Excellent written and oral communication skills Preferred Qualifications • Background in antisemitism studies • Experience with R, NLP and deep learning libraries • High performance computing
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experience in computational biology or cancer genomics Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP) At least one first-author peer-reviewed publication Strong communication and
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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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, and building computational engines. The postdoctoral fellow will be hired for a one-year position with opportunity for renewal on a yearly basis assuming satisfactory performance. The positions include
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Center for Drug Evaluation and Research (CDER) | Saint Louis, Missouri | United States | about 6 hours ago
Research (CDER), located at St. Louis, Missouri. The Center for Drug Evaluation and Research (CDER) performs an essential public health task by making sure that safe and effective drugs are available
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programming, high-performance computing, and computational chemistry will be preferred. This position is a full-time, benefits-eligible position. Interested applicants should submit a cover letter and CV, one
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of CDRH is to protect and promote public health. CDRH assures that patients and providers have timely and continued access to safe, effective, and high-quality medical devices and safe radiation-emitting
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applications for a Postdoctoral Fellow with Professor Pragya Sur. Professor Sur’s lab focuses on research in high-dimensional statistics, machine learning theory, or more broadly, mathematical foundations of AI
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educational and research opportunities. This includes participating in relevant committees, conferences, and professional activities. Primary goal is to ensure that the program provides high-quality education
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, molecular biology, and computational science. Access to patient samples, state-of-the-art imaging facilities, and high-performance computing resources will support translational research aimed at improving