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Field
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compilers and runtimes can unify classical, quantum, and analog execution models under a shared optimization framework. Basic Qualifications: Ph.D. in Computer Science, Computer Engineering, or a closely
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studies Monte Carlo simulation and/or statistical software or package development (e.g., R, Stata) Multilevel modeling (MLM), difference-in-differences (DID), or comparative interrupted time series (CITS
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11:59 PM E.T. on August 5, 2026. The application review process may take approximately 3-4 months. This fellowship is offered as an initial, one-year appointment, with an opportunity to extend
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, interventions, and professional development activities (e.g., manuscript preparation, project management, and grant writing). Mentor matching is an essential component of the selection process. About Arizona
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DOE-STP Critical Minerals and Energy Innovation - Alternative Fuels and Feedstocks Office Fellowship
Feedstocks Technologies R&D program develops reliable and cost-effective technologies for producing, harvesting, storing, processing, transporting, and mobilizing abundant domestic biomass and waste feedstocks
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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hardware. As part of our team, you will perform research to develop new scalable quantum simulation algorithms, based on multi-linear representation theory, and apply them to real world applications spanning
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[email protected] in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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required. Experience with hydrodynamical simulations of protoplanetary disks, and/or post-processing to generate mock observations from continuum, line, and/or scattered light emission, would be a plus
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Responsibilities will vary depending on the Fellow’s background, but may include: Developing machine learning, optimization, or simulation models to improve clinical operations and resource allocation Advancing