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U.S. Great Plains region, as evidenced by application material. Previous experience with coupling interdisciplinary models and/or high-performance computing, as evidenced by application material
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, or multi-modal learning that integrates structured EHR and biomarker data. The fellow will have access to curated oncology datasets, high-performance computing infrastructure, and mentorship from a cross
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strong knowledge of superconductivity and quantum information science; You have performed low temperature electrical transport measurements and data analysis. You work effectively in a collaborative team
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SPECIFICS Post-Doctoral Position – High-Performance Low-Carbon Concrete – Rajabipour’s Lab Dr. Farshad Rajabipour’s research group in the Department of Civil and Environmental Engineering (CEE) at Penn State
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advanced computational techniques. Application of strong analytical and critical thinking skills and problem-solving efforts to formulate high-quality research ideas and directions in collaboration with
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software and high-performance computing (HPC). These include particle and gravitational physics. -On the data analysis side, the group designs novel statistical methods for particle physics and astrophysics
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structured and unstructured data, such as text, images, and videos. Additionally, there are individual machines available, each with high-performance GPU cards for enhanced processing capabilities. Various
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career. Used when the appointee performs specific services on a grant or contract in exchange for compensation. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in
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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | 2 months ago
, ion trap based computers have a high degree of controllability and are only weakly susceptible to noise, yet with only tens of qubits they are comparatively small. Superconducting technologies have
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at cutting-edge chemistry, physics, and materials research. Ames National Laboratory is a world leader in catalysis, polymer upcycling, separations, computational chemistry, rare earths, quantum materials