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Field
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-based electronic structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods, etc. -ML-augmented numerical method development. -High-performance computing (HPC). Certifications
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
developing software and analytic tools to perform disease modeling and critical analytics in response to infectious disease outbreaks. ACCIDDA is part of the newly formed CDC-funded national network of centers
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, Fisheries Science, Biology, Zoology, Biological Oceanography, Mathematics, Statistics, Computer Science, or related discipline Knowledge of modeling ecosystem and/or social network dynamics Strong
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Postdoctoral Associate AI and MRI Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Electrical and Computer Engineering, Computational Science
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references. Responsibilities Work under the mentorship of the principal investigator and mentoring team to develop research projects consistent with the aims of the research program. This would require a
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, United States of America [map ] Subject Areas: Computer Science Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Machine Learning Appl Deadline: none (posted 2025/08
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, chemistry, electrical and computer engineering, materials science and engineering, or computer science and engineering. Desired Qualifications: Expertise applicable to quantum networking systems and devices
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, SiNAPS, NeuroNexus) probes—and viral-mediated, sub-type specific neural control in neonatal mice. These techniques are combined with network modeling, imaging and behavioral analysis to generate a complete
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, and the program will help them develop strong research networks by facilitating collaboration among the postdoctoral cohort and by ensuring that they have ample opportunities to interact with the whole