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Alexandria, Virginia. The focus of these positions will be on quantum computing, quantum algorithms, quantum learning, quantum error correction, and quantum fault-tolerance. The successful candidate will join
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Position Description A postdoctoral position studying “algorithms in nature” is available in Dr. Saket Navlakha's research group at the Simon's Center for Quantitative Biology at Cold Spring Harbor
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experience and enhanced potential to receive an ERC Starting Grant in the future. Open to both PhD (natural sciences) and MD (medical sciences) holders. From a variety of academic backgrounds: molecular
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architectures and training algorithms, uncertainty quantification, high-dimensional stochastic systems and high-dimensional partial differential equation systems. Multiple positions available. About the T-5 Group
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on the development and application of machine learning algorithms in areas such as surrogate modeling for physical systems, data assimilation, and scientific data reduction. The position comes with a travel allowance
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of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests
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Preferred Qualifications: PhD in physics, bioengineering, electrical or mechanical engineering, computer science, or a related field with experience building imaging instrumentation and interest in biological
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | 3 months ago
language models to build database of magnetic materials (30%) Use ML models to explore algorithms for three-dimensional magnetic reconstruction (40%) Explore other applications of machine learning, broadly
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specific work experience is required for this position. Skills: Not Applicable Driver's License: A driver's license is not required for this position. More About This Job Preferred Qualifications: PhD in
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reconstruction algorithms that incorporate multiply-beam coherent scattering imaging in a grazing incidence geometry to improve the spatial resolution to ultimately demonstrate the utility of the novel coherent