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(for example, R, Python, or Matlab). Experience with graph modeling, Bayesian statistics, or causal inference is a plus. The candidate will join an integrated team of computational scientists, molecular
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organizations, class councils, and their members. Utilize strong knowledge of student and leadership development theory to inform advising practices and the development of services. Inform advisees about relevant
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schedules, enter patient data and assist with statistical analysis, tabulation, and digital graphing of clinical results. Minimum Qualifications Two years of college or a completed AA program with an emphasis
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dedicated to advancing the Variational Discrete Action Theory (VDAT) - a novel variational approach to the quantum many-body problem. Candidates should have a strong background in theoretical/computational
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organizations, class councils, and their members. Utilize strong knowledge of student and leadership development theory to inform advising practices and the development of services. Inform advisees about relevant
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to convey complex information using supporting tables, graphs, and other visual representations. To apply, please submit your cover letter, detailed resume, a statement of research interests, and
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research and practice (e.g. theory, needs assessment, intervention design, program evaluation) ? Experience with health communication ? Experience assisting with educational and/or community programming
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on the development of computational and analytical methods for strongly correlated electron systems. This position is part of a research program dedicated to advancing the Variational Discrete Action Theory (VDAT) - a
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development. Applicants must hold a PhD in chemistry, chemical engineering, materials science, or a related field. Extensive experience in electronic density-functional theory, computational surface science
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scientific literature appropriate to their career stage Desirable attributes: - Experience with CESM and in particular the Community Atmosphere Model (CAM) - Experience with theory and modeling of convection