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                Title: Postdoctoral Research Associate: High Performance Cloud Computing Laboratory (HPCC Lab) Employee Classification: Postdoctoral Research Assoc Campus: University of North Texas Division: UNT 
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                advanced many-body methods, high-performance computing, and machine learning approaches. The successful candidate will play a leading role in developing computational methods and high-performance algorithms 
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                package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer 
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                : Postdoctoral Position Location: Lemont, Illinois 60439, United States of America Subject Areas: High Energy Physics / BSM , BSM new physics , Computational , Electroweak Symmetry Breaking , Flavor Physics 
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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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                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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                for state-of-the-art high performance computing architectures. Study the dynamics and properties of lattice models of nonequilibrium quantum materials using innovative computational techniques. Collaborate 
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                of [map ] Subject Area: Physics / High Energy Physics Appl Deadline: 2025/12/15 11:59PM (posted 2025/10/27, listed until 2026/05/01) Position Description: Apply Position Description The Junior Research 
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                . Publication and Presentation: Publish research findings in high-impact journals and present at scientific conferences. Qualifications: Educational Background: Ph.D. in bioinformatics, computational biology 
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                . At the heart of our program is the GLICO (Glioma-in-a-Cerebral-Organoid)platform, a system we pioneered where patient-derived glioma stem cells are grown within human cerebral organoids. This high-fidelity model