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Field
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team. Work towards achieving the Objectives will run in parallel through the project, broadly along the following timeline: Year 1: literature review, desk-based mapping, initial fieldwork mapping and
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the development towards this end of efficient, highly parallel software running on commodity hardware. Novel methods to compute the stray field from magnetized material with attention to interface and
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essential. Must be able to think independently, manage time effectively, and prioritize multiple deadlines in parallel. Position Status Full Time Posting Number 24FA0364 Posting Open Date 04/01/2024 Posting
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applicants are considered (with background in Computational Physics, Applied Mathematics, Biophysics, and related fields). Experience with parallel computing is a plus as well as familiarity with high-level
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(with background in Computational Physics, Applied Mathematics, Biophysics, and related disciplines). Experience with parallel computing is a plus as well as familiarity with high-level programming
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301.975.8582 Michael Garth Huber michael.huber@nist.gov 301 975 5641 Description This program explores complementary aspects of atom and neutron interferometry with particular emphasis on their interplay with
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IT staff and partitions large systems into components that enable parallel solution development by multiple teams. The scope of a technology specialization is described in the supplemental, however
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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural
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Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training
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Research and Innovation Network. There will be the opportunity to develop models of these initiation processes in parallel with the experimental investigation. Funding Notes 1st or 2:1 degree in Engineering