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are seeking highly motivated Research and Development Engineers to join our Computational Intelligence and Visualization Application Department of the Applied Research Laboratory (ARL) at Penn State. You will
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algorithms, analysis pipelines, and software in order to establish and ensure effectiveness and scalability of computing infrastructure. Provides consultation for and expertise with computer applications to
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software development and scientific computing algorithms as well as the ability to learn quickly. Candidates will be evaluated solely on their ability to demonstrate the skills, knowledge, and experience
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learning and AI-driven research projects. Collaborate with researchers to translate scientific requirements into technical solutions. Optimize algorithms and workflows for performance, scalability, and
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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or interested in quantum algorithms, quantum optics, quantum resource theory, and semi-conductor/superconducting quantum computing are encouraged to apply. Points of contact with ongoing research programs in
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-driven research group working at the intersection of computational genomics, clinical artificial intelligence, and imaging genetics. This position offers an exciting opportunity to develop novel algorithms
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innovative research in quantum information science, broadly defined. Areas of interest include, but are not limited to, quantum computation and simulation, quantum algorithms, quantum error correction, quantum
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Engineering, Chemistry, Biochemistry, or related scientific discipline Experience 1. Familiar with various cheminformatics, bioinformatics, data science, retrosynthesis algorithms for enzymes. 2. Experience in
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materials science applications and algorithms for OLCF supercomputers Develop and apply advanced, compute-intensive materials simulation methodologies to study the fundamental properties of molten salt