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Qualifications: Extensive experience in neuropsychological report writing. Relevant coursework in neuroanatomy, neuropsychology, psychometric theory, statistics Demonstration of scholarship in neuropsychology
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, including those appearing in string theory. 2. To uncover the universal algebraic structures of integrable models. 3. To construct new integrable instances of gauge/gravity duality. 4. To investigate
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researchers with an interest in any of the following fields: quantum gravity, field theory, machine learning, statistical physics, random matrix theory, or complex networks. The job description may be changed
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Computation Nuclear Many-body Theory Laboratory , RIKEN Nishina Center for Accelerator-Based Science (Director: Masaaki Kimura) Computational Condensed Matter Physics Laboratory , RIKEN Cluster for Pioneering
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research activities Evaluation of theories and principles Performing technical tasks associated with research activity Hands-on work with animals Learn more: Our benefits , where we prioritize your well
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Experience: Experience in advanced analytical theories, predictive modeling, data mining, and data extraction. Experience in clinical and health services research. Expertise in using various statistical
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] Subject Areas: Social Sciences / Computational Social Sciences Biology / Evolutionary Game Theory Applied Mathematics / Applied Mathematics and Statistics Mathematical and Information Science Network
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forms of electronic and magnetic structure theory and calculations is also expected. The successful candidate will have a strong research and publication record and must have a Ph.D in physics or related
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of information theory, mathematical modeling and machine learning and their application to medical science problems (5) Deep Learning in Biomedical Sciences (6) Theory and methods on prediction, control and
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of integrable systems and of the inverse scattering theory Physical Demands Salary Range $60,000 Additional Salary Information The salary range reflects our good faith and reasonable estimate of the possible