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of resistive switching mechanisms in meta/insulator/metal memristive materials Qualifications • PhD in Computational and Applied Physics • Proficiency using software for the simulation of atomic structure
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: 7319197 University of California Irvine Postdoctoral Scholar Wireless Communications, AI (RL/LLMs), and Software-Defined Radios Position overview Salary range: A reasonable estimate for this position is
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partnerships (25%) Qualifications Required Qualifications: PhD in Kinesiology, Exercise Science, or Related Field; basic proficiency in statistical and qualitative analyses using relevant softwares; experience
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skills and experience; strong computer skills including Excel, statistical and/or graphical software (ex. Adobe Illustrator, ImageJ, Powerpoint); excellent organizational and communication skills; ability
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expected to work closely with a sub-team as well as collaborate with the broader full team. Job Requirements REQUIRED: Ph.D. in applied mathematics, computer science, software engineering, economics, energy
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Researcher (R3) Application Deadline 19 Oct 2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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interested in candidates with a strong Computing-oriented research profile, including expertise in cybersecurity, cryptography, secure systems, quantum software, quantum networking security, or post-quantum
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 17 hours ago
the early 2000s. Program Goals The Professional Internship Program is designed to introduce undergraduate students and recent Bachelor's graduates to the challenges of conducting energy research, and enable
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, maintaining, and documenting open-source software tools or R packages Experience with geospatial analysis, environmental databases, and cloud or high-performance computing workflows Demonstrated record of peer
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together computer scientists, AI researchers, domain scientists, software engineers, and high-performance computing experts. You will help design and implement new methods for multimodal federated learning