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results by 15 January 2026. Founding Source: Project „Dynamics of processes around compact stars” is funded by NCN (contract number: 2023/50/A/ST9/00527). Project website: https://ra.cft.edu.pl/ About us
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integrate linear and circular processes, enabling used products to be transformed into new generations. What you will do Implement GPU-accelerated Gaussian Mixture Model (GMM) learning in PyTorch Optimize
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A postdoctoral research position is available in the area of computer modelling of new materials for next-generation photovoltaics within the group of Professor Saiful Islam in the Department
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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radar control, data acquisition, and visualisation systems. You'll dive into radar signal processing, tackling high-throughput and parallel data challenges using technologies like CUDA and OpenCL. You’ll
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have largely operated in parallel, leaving significant opportunities for synergy unexplored. By integrating the two domains, process mining can benefit from visual analytics’ expertise in handling multi
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. In November 2020, 6GIC was officially launched with parallel research undertaken in both 5G+ and 6G for 2030+. About you We are looking for a candidate with: Strong expertise in signal processing
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, mechanical and durability testing, and integration with advanced machine learning models. The postdoc will collaborate closely with CEBE’s parallel work packages. Experimental and analytical data generated in
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, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in
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), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of