82 application-programming-android-"Prof" Postdoctoral positions at Argonne in United States
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towards applications including electrometallurgy, advanced nuclear systems, and chemical production. Under the guidance of a supervisor, the postdoctoral appointee will develop fundamental understanding
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computational science expertise. The ALCF has an opening for a postdoctoral position in data management targeting AI applications at scale. This Postdoc will join the AL/ML group, a vibrant multidisciplinary team
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geared towards applications including advanced nuclear systems, electrometallurgy, chemical production, and national security. Under the guidance of a supervisor, the postdoctoral appointee will develop
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) or equivalent experience in a computational science discipline, computer science, or in a related field Strong programming skills in one or more scientific programming language, such as C++ and Python Experience
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focus on further advancing the ATTA technique. The Physics Division has an active and broad-ranging program at the intersection of nuclear and atomic physics including a strong focus on fundamental
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completed Ph.D. within the last 5 years in Computational Biology, Bioinformatics, Machine Learning, Artificial Intelligence, Virology, or a related field Strong programming skills in Python, R, or Julia, with
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contract is extended on a yearly basis. Application Materials - Please submit: CV and cover letter Name your documents using the following formats, e.g., “Firstname_Lastname_CV
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(Californium Rare Ion Breeder Upgrade) facility or from the Argonne In-Flight Radioactive Ion Separator, RAISOR. In addition, members of the group are leading experimental programs at the Facility for Rare
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ferroelectric and other functional materials into photonic architectures for electro-optic and quantum transduction applications Perform full device processing using cleanroom techniques, including electron-beam
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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