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readiness assessments Project Management Skills: create project plans and manage multiple parallel deadlines, ability to identify roadblocks proactively and formulate mitigation plans Duke is an Equal
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advanced many-body methods, high-performance computing, and machine learning approaches. The successful candidate will play a leading role in developing computational methods and high-performance algorithms
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experience Demonstrated programming expertise in MATLAB and/or Python (object-oriented design, numerical methods, scientific visualization) Prior experience in scientific computing or within the subsurface
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translational research efforts. May develop an independent research program focused on genetics of susceptibility to complex disease or on development of computational methods for genetic research. Contributes
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regulations related to health care Attention to detail and accuracy Computer literacy Preferred Qualifications Experience and demonstrated skill with using the teaching method of asking questions for self
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for massively parallel computers. Experience with quantum many-body methods. Preferred Qualifications: A strong computational science background. Familiarity with coupled-cluster method. Understanding
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through computational methods, including data analysis, theory, modeling and simulation. Directed by Dr. Leslie Greengard, the mission at the Flatiron Institute's Center for Computational Mathematics is to
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; proven capacity to manage work independently, advance multiple projects in parallel, and be responsive to time-sensitive deadlines. Well-organized, with strong administrative skills and outstanding
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relating to research developments in computer science, and technological applications of computing. Core topics include – but are not limited to – fundamental computer science, numerical methods, computing