1,102 high-performance-quantum-computing-"https:"-"https:" Postdoctoral positions in United States
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing
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, research, and public service. Job Description Purpose: The Department of Electrical and Computer Engineering and AggieFab Nanofabrication Facility at Texas A&M University seeks a Postdoctoral Researcher to
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on accelerating high-impact advances in human performance by leveraging the rapidly advancing fields of bioengineering, neuroscience, artificial intelligence, genetics, molecular biology, imaging, and regenerative
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extensive experience in one or more of the following fields: computational chemistry, multi-reference quantum chemistry, nonadiabatic dynamics or metadynamics. The applicant must have recently received, or be
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-postdoc Early Career Professional Development: Career and professional development are important components of your postdoctoral training. FES’s goal is to help postdoctoral fellows perform and publish high
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microscopic understanding of correlated excited states and their potential applications in quantum information science and energy conversion. This position offers the opportunity to work in a collaborative and
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also include trouble shooting capabilities. Desirable skills include working knowledge of Linux, FORTRAN, Python and C++; experience with machine learning, parallel computing and high-performance
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This postdoctoral researcher will play a key role in a theoretical and computational research program focused on axion physics and cosmic microwave background (CMB) cosmology. This research program is led by
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. The work will be performed under the general supervision and guidance of the FDOT staff. In general, the services provided will consist of: • Professional services including technical
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. Experience working with a high-performance computing (HPC) environment. Familiarity with machine learning and advanced statistics. Experience with analysis of time series data from intracranial EEG (iEEG