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, 48, 102372 [2] F.H. Kim , A.L. Pintar, J.H.J. Scott, E.J. Garboczi (2023), “Evaluation of Flaw Detection Algorithm Using Simulated X-Ray Computed Tomography of Ground Truth Data”, ASME J
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University of North Carolina at Chapel Hill | North Wilkesboro, North Carolina | United States | 20 days ago
preprocessing, algorithm evaluation, and collaborating with members of the team on development of innovative solutions to complex problems in the field of visual computing. The research assistant is
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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
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analysis and predictive modeling is highly desirable. Experience with software development, cloud computing, data engineering, algorithm design, or scalable computational workflows is a strong plus
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analysis, algorithm development, and simulation studies in the area of machine learning for wireless communications. Develop and implement machine learning techniques for communication systems, with a
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development. - High-performance computing ( HPC ). - Quantum algorithm design. - Error correction or error mitigation. Certifications/Licenses Required Knowledge, Skills
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Inria, the French national research institute for the digital sciences | Villeneuve, Queensland | Australia | 11 days ago
sets of Pareto local optima. Development of parallel tunneling strategies , identifying and exploiting solution-level, iteration-level, and algorithm-level sources of parallelism to enhance the
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comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures ( https://CGRlab.github.io/research/ ). About the research project We are open
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to the design and development of next-generation neuromorphic computing systems through algorithm–hardware co-design and computing-in-memory technologies. Your research will span the complete hardware
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development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high shares of renewable energies and increasing