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Field
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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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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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are required, as well as experience with machine learning, and some familiarity with the major bioinformatics tools/databases. Experience with high performance computing and protein function and/or structure
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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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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 hours ago
is December 2025 or anytime soon. The initial appointment will be for 1.5 years, with a possible extension of another six months, depending on performance and funding availability. Salary and benefits
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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
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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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Mathematics, or a related field, awarded within the last five years Programming experience in one or more of Python, C++, Fortran, or Julia Knowledge of high-performance and parallel computing Experience
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reliable operation of the Rapid Cycling Synchrotron (RCS), Electron Storage Ring (ESR), and Hadron Storage Ring (HSR). The researcher will develop and analyze impedance models, perform high-fidelity beam
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or