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problems in partial differential equations inspired by cutting-edge algorithms in statistics and machine learning Type of programme/project/ undertaking MAESTRO-16 Funding institution National Science Centre
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a competition for the position of postdoctoral position (assistant professor) in the NCN Sonata-18 project entitled: Parallel and exact algorithms for path problems in directed graphs. About the
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the Generative Flow Network (GFlowNet) algorithm. We plan to further enhance this algorithm to consider the shape of biological binding sites and incorporate modules for optimizing physicochemical properties
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-channel measurement systems, transmitted via high-speed links to a server for algorithm-based processing. The candidate will contribute to the design of efficient server-side data processing and participate
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automation and simulation-driven optimization of high-frequency systems using machine learning * development of optimization algorithms and numerical modeling procedures * development of simulation models
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systems * knowledge of modern artificial intelligence algorithms * practical experience in implementing IT services using artificial intelligence technologies * experience (minimum 5 years) in teaching
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5 Sep 2025 Job Information Organisation/Company Gdańsk University of Technology Department Faculty of Electronics Telecommunications and Informatics, Department of Algorithms and Systems Modelling
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. Application programming in Linux environment. Experience in applying artificial intelligence algorithms. Proven knowledge (e.g., certificate, employment certificate as a designer) of CAx systems. Verified
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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 2 months ago
/undertaking dr hab. Szymon Toruńczyk Description of programme/project/undertaking The combination of methods from logic and graph theory has been extremely successful in the design of algorithms, in complexity
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process. The software will be based on cutting-edge generative neural networks, spefically the Generative Flow Network (GFlowNet) algorithm. We plan to further enhance this algorithm to consider the shape