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on other theoretical techniques. Preferred Knowledge, Skills, and Abilities: Some experience with quantum algorithms and quantum information science research. Experience with theoretical frameworks
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to develop and translate advanced computational tools that directly impact patient care in a clinical environment. Responsibilities: Develop GPU-accelerated dose calculation and optimization algorithms
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for large-scale and distributed systems. The role focuses on developing and analyzing algorithms, building reproducible computational studies, and disseminating results in leading venues. The position
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working at University of Houston More Jobs from This Employer https://main.hercjobs.org/jobs/21900191/post-doctoral-fellow-big-data-algorithms-group Return to Search Results
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research in machine learning (ML) for applications in High-Energy Physics (HEP). We seek highly qualified candidates with interest and experience in ML algorithms including unsupervised techniques, time
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University. This research opportunity will be focused primarily on the development and application of novel computational algorithms to analyze and integrate diverse omics datasets, including bulk and single
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/Administrative Internal Number: 495376 Department: Computer Science Salary: Commensurate with Experience/Education Description: Possesses, understands, and applies a comprehensive knowledge in area of
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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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of the Vertebrate Genomes Project (VGP, www.vertebrategenomesproject.org ), and also a main hub of the Earth BioGenome Project (EBP, https://www.earthbiogenome.org ) and a hub for innovation in high
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membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. If you are looking for a rewarding career