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Field
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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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disrupting compounds (EDCs), such as phthalates, sperm epigenetics, and embryo development. In parallel to our human studies, we are examining embryonic inheritance of sperm epigenetics after preconception
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model is employed to forecast renewable energy availability, providing crucial insights for the design optimization process. The ML-assisted operation tackles the dynamic optimization of parallel energy
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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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employed by the Hh signaling pathway in regulating cell-cell interactions (I). In parallel, we are interested in developing novel reagents and experimental approaches combined with cutting-edge imaging
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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