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arising from solid/fluid dynamics/geomechanics, and numerical methods for partial differential equations, especially finite difference methods and finite element methods, both theory and applications. A
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possess Experience developing or commissioning detector hardware and electronics. Data analysis at a major high energy physics experiment, analysis software development, statistical methods. Computing and
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and natural environments coupling advanced and traditional digital, virtual, and analog methods. Urban Planning: A community engagement driven, systematic, and creative process which influences
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economics, that links to Policy Analysis, Public Policy, International Economics, and Labor Economics with demonstrated ability to link to policy issues and application of appropriate research methods
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, Skills, and Abilities: Ability to cultivate and maintain professional working relationships Preferred Qualifications: PhD in experimental nuclear physics Advanced knowledge of experimental methods in
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Bioinformatics Experience in full-time research or scholarship, not enrolled in a formal academic program, but working under the mentorship of a senior scholar in preparation for an academic and/or research career
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, as well as numerical methods for partial differential equations, especially finite element methods, both theory and implementation. A successful candidate will work in the topics of interests, which
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related field Persons in this position should have excellent English communication skills, expertise in data analysis methods (e.g., network optimization, statistics, spatiotemporal data analytics
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, methods and applications of machine learning and deep learning. Experience with frameworks and libraries for deep learning (e.g., PyTorch). Experience with models and libraries in computer vision, for image
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records of experiments and data. Mentoring: Assists in training and supervision of less experienced lab members, undergraduate and graduate students in methods and approach used in the research. Manages