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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs) Proficiency in a scientific programming language (e.g., C, C++, Fortran
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and conference presentations. Effective oral and written communication skills. Ability to model Argonne's core values: impact, safety, respect, integrity, and teamwork. Desired skills, knowledge and
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tools (examples include: Git/GitHub, Pandas, Globus, Docker, Dryad, PostgreSQL, MongoDB, and Milvus) is desirable. Excellent communication and collaboration skills, with the ability to work effectively in
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programming. Strong oral and written communication skills. Excellent collaboration and teamwork abilities. Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork. Preferred
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universities. Skilled in communication at all levels of the organization. The successful candidate is expected to present and publish results in peer-reviewed society technical reports and journal articles
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teamwork. Strong background in experimental physics and/or engineering Ability to effectively communicate both verbally and in writing. Considerable skills in collaboration. Preferred: Experience in device
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approach with the ability to work independently to deliver. Skills in written and verbal communication, with the ability to present complex information in a clear and concise manner. Knowledge in energy