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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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proficiency in information technology, with particular emphasis on the design of information systems, distributed and mobile systems, cloud solutions, virtualization, containerization, operating systems
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skills in designing advanced neural networks (including Vision Transformers, Graph Convolutional Networks, and Spiking Neural Networks), hardware implementation of algorithms for reconfigurable FPGA
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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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or equivalent Skills/Qualifications The post-doc is expected to independently design, plan and conduct experiments. In addition, will oversee the work of the PhD student. Responsibilities: -To develop algorithms
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University of Warsaw: Faculty of Mathematics, Informatics and Mechanics | Poland | about 1 month 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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. 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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conducting scientific research during the period of employment, i.e., to be included in the N number for the purposes of the base funding allocation algorithm for statutory activities. Specific Requirements
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university studies in the field of construction, knowledge of software in the field of engineering graphics (e.g. Autocad), structural analysis (e.g. Solids, Robot, Abaqus) and algorithmization of engineering
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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