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science, computational sciences, or mathematics is preferred. Knowledge required includes machine learning and statistical methods, proficiency in programming with C, C++, and Python, familiarity with Cloud systems and
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engineering, applied mathematics, physics, or related field with an evidence of understanding nuclear nonproliferation and/or the nuclear fuel cycle. Experience applying machine learning techniques to problems
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Professor Alan Tennant on novel quantum magnetic phases, out-of-equilibrium phenomena, and application of machine learning. Candidates who have experience in neutron scattering, materials characterization and
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treat one another, work together, and measure success. Basic Qualifications: PhD in physics, optics, electrical engineering, computer science, or a related field completed within the last 5 years
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Experience with multi-physics simulations on high performance computing (HPC) and machine learning (ML) Experience working in a multi-disciplinary research environment Demonstrated written and oral
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completed in the last five years. Hands-on experience with machine learning, process modelling, and industrial data acquisition systems is very valuable. This position may also require access to technology
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together, and measure success. Basic Qualifications: A PhD degree in Physics, Chemistry, Biology, Computer Science, or a related discipline A minimum of 3 years of experience in machine learning applied
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to application of machine learning and data mining techniques to analyze multiple data modalities related to corneal disease, including imaging, genetic and clinical data. Qualifications PhD in Computer Science
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comprised of a multi-disciplinary team of scientists carrying out research to improve process understanding of the global Earth system by developing and applying models, machine learning, and computational
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with machine learning, particularly as applied to hydrology or other environmental systems Experience developing software for, and running software, in a cluster computing environment Experience with