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Field
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-performance computing (HPC) environment Perform data analysis and visualization Perform machine learning and inverse design techniques Train and supervise masters and doctoral students Coordinate research with
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Research Facility (MRRF) at the University of Iowa in collaboration with the Free Radical and Radiation Biology Program is seeking a highly qualified motivated individual to fill a Post-Doctoral Fellowship
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creating the fastest algorithms for modeling of entanglement purification circuits; creating the highest performance quantum error detection circuits; developing symbolic computer algebra systems for quantum
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materials for the next generation of microelectronics and quantum information science and technology. Position Description: We are looking for a Postdoctoral Research Associatefor a 1-year term , to grow high
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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, data analytics, geospatial science and technology, nuclear nonproliferation, and high-performance computing for sensitive national security missions. We also enhance ORNL contributions to national
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discourse analysis approaches. The associate will also work with the PI and undergraduate student researchers on artifacts related to the project’s educational plan. All work will be performed in accordance
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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Key Responsibilities: • Adapt internal computational pipelines to analyze high-dimensional patient datasets, including single-cell sequencing, spatial transcriptomics, clinical, and other relevant
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to perform lab work in this area, but also manages, trains, and schedules hourly student workers and undergraduate research assistants in various protocols and laboratory operations and procedures