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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 11 hours ago
areas: computer vision, computer graphics, and deep learning. We require documented experience about computer vision, machine learning, deep learning or optimization, demonstrated by high-quality
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interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong
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interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: PhD in in computer vision, machine learning, artificial intelligence, or a closely related field. Strong
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 11 hours ago
Technology (KAUST) is looking for postdoctoral researchers in the area of computer vision, AI, and machine learning. The initial appointment will be for 2 years with a possible extension with a
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structure of withdrawal, (2) acquire data from genetically diverse mice under a multitude of conditions, and (3) develop multimodal machine learning models and methods to determine signatures and
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- Epigenomics, Machine Learning & 3D Genome Biology Employer NYU Langone Health, Skok Lab Location New York City, New York (US) Salary Postdoc: $70,000+ annually, plus benefits; Senior Computational Biologist
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Track record of publications in Artificial Intelligence and Deep Learning in peer-reviewed conferences and journals, specifically in Computer Vision and/or Natural Language Processing Proficiency in
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Übersicht RobotX PhD Fellowship 2027 100%, Zurich, fixed-term Drucken RobotX, the Center for Robotics at ETH Zurich, is looking for outstanding doctoral students who want to build robots that work
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analysis, optimization, and machine learning techniques is a plus. Knowledge of machine learning libraries (e.g., PyTorch or TensorFlow), SDR hardware (e.g., USRP) and software (e.g., GNURadio
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for successfully generating fusion energy. This research will focus on the chemical speciation and transport of tritium in the molten salt blankets using ab initio quantum simulations, machine learning