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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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, mentor graduate and undergraduate students. For additional information visit: https://jarrold.lab.indiana.edu/ Basic Qualifications Required Qualifications: Ph.D. in Chemistry or Physics at time of
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, including full access to various supercomputers and massive data storage systems (see here for further details https://uits.iu.edu/services/technology-for-research/high-performance-computing-and-storage
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leading role in the synthesis of network observations, including forest inventory data (e.g. from the USDA Forest Inventory and Analysis program) and flux tower data (e.g. from AmeriFlux and FLUXNET
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transit as well as Gaia/LSST discoveries. Indiana University also provides excellent research computing resources (high-performance computing clusters, large-scale storage, and advanced visualization
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provides excellent research computing resources (high-performance computing clusters, large-scale storage, and advanced visualization). Initial term: 2 years, renewable for a 3rd year contingent on
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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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the opportunity for renewal on a yearly basis based on performance. The mission of the Design & Implementation Sciences Program directed by Dr. Ramly is to conduct research and training to accelerate