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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
, and innovation centre active in the fields of High-Performance Computing (HPC), Data Analytics (HPDA), Quantum Computing (QC), Artificial Intelligence (AI) and their applications. For more, see https
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in mathematics, with focus on stochastic analysis and related areas Research experience in at least one of the following topics: stochastic calculus, stochastic geometry, limit theorems, functional
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equivalent) in, with a dissertation topic relating to any of Computational Biology, Frontiers of AI, or Network Mathematics Microbial and/or plant culture, DNA extraction and bioinformatic analysis
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skills, especially in the programming of high order finite element methods on polygonal and polyhedral meshes, and a mathematical background in the analysis of finite element methods. Some understanding of
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on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless
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. Responsibilities include tutorial assessment, and the ideal candidate will offer the following skill sets: Serve as a liaison to the Mathematics Department and the Testing and Assessment Office. Train tutors in
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of research. Assists in the use of specialized laboratory equipment and analysis of data generated by this equipment. Key Responsibilities Perform routine laboratory experiments and procedures using standard
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
inform observable macroscopic properties as part of the activities of the UNC Superfund Research Program (SRP) (https://sph.unc.edu/superfund-pages/srp/). This work involves running, developing, and
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competences in Computational Electrostatics for Biology Numerical analysis and implementations ESSENTIAL REQUIREMENTS To be registered as a student in an undergraduate master’s degree programme in Mathematics
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Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis. You will