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the thermomechanical performance of the refractory masonry; Application of advanced statistical analysis algorithms, including sensitivity analyses and comparisons of different algorithm types; Development
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-source project used by the scattering community Exposure to advanced data analysis methods and practical algorithm implementation Opportunity to work closely with scientists and software developers at MAX
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Posting Summary Logo Posting Number STA00188PO26 Job Family Operational Analysis Job Function Business Intelligence USC Market Title IT Technical Trainer Link to USC Market Title https
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-efficient computing Developing mathematical modeling for complex scientific problems Designing algorithms to improve the performance of scientific applications Researching digital and post-digital computer
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of Coimbra III- Scientific supervision/coordination of the grant: Rui Paulo Pinto da Rocha IV - Work Plan / Goals to be achieved: 1. Development of algorithms for swarm robotics and human–swarm interaction 2
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by integrating large-scale single-cell foundation models with structured biological knowledge encoded in genomic graphs. The project will also deliver efficient algorithms to train these models under
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sophisticated tracking algorithms, AGATA enables precise reconstruction of gamma-ray interaction points, superior Doppler correction, and excellent peak-to-background performance. Working with AGATA provides
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simulation software. Develop algorithms and techniques that reinvent signal understanding and processing. Collaborate closely with the tight-knit members that make up the Simulation Team and collaborate
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; (ii) teaching university-level computer science courses in the following subjects: Data Structures, Algorithms, Operating Systems; Formal Languages and Automata, and Network Security; (iii) advising
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across all areas in Computer Science, including Algorithms and theory Bioinformatics and digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and