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at least one mainstream deep learning framework (e.g., PyTorch, JAX) • Expertise in (atomistic) thermodynamic, kinetic simulations or computational chemistry • Ability to independently design and
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delivery of assigned Thrust 3 milestones and outputs. Job Requirements: PhD in Electrical or Electronic Engineering, Computer Science, Computer Engineering, Cybersecurity, Applied Cryptography, or a closely
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., Medicare and Medicaid) to examine clinical and environmental factors associated with CKD incidence and trends. Apply advanced statistical and machine learning methods, including semi-supervised cluster
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 3 hours ago
background with evidence of both skills related to convex optimization, machine learning, stochastic gradient descent, and deep learning Demonstrated experience in developing, analyzing, and implementing
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or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected
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Job Description The Department of Electrical and Computer Engineering (ECE), College of Design and Engineering, is seeking a Research Fellow to lead the process development and device fabrication
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for respiratory virus genomics; Final projects will be developed jointly by the mentor and fellow. Learning Objectives: During the fellowship, you will learn to: Apply bioinformatics and data science methods
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will work across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and
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opportunities within the company. Responsibilities Develop and implement advanced computational and machine learning strategies, including deep learning, graph-based methods, and probabilistic modeling
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, Military Affairs, Military Strategy, Intelligence, Nuclear Security, Nuclear Strategy, Arms Control, Nonproliferation, Terrorism, Counterterrorism, Cybersecurity, Emerging Technologies and Security