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of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs, permutations, posets or set systems using probabilistic, structural and
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on machine learning and networks, release the code in open access and actively participate in the international interpretability community. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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Engineering » Computer engineering Engineering » Knowledge engineering Mathematics » Algorithms Mathematics » Mathematical logic Technology » Computer technology Technology » Knowledge technology Researcher
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The project will be carried out primarily at the CLLE laboratory (UMR 5263) at University of Toulouse – Jean Jaurès (UT2J), in collaboration with the Institut de Recherche en Informatique de Toulouse (IRIT
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Communication sciences Information science Engineering » Communication engineering Engineering » Electronic engineering Mathematics » Applied mathematics Mathematics » Probability theory Mathematics » Algorithms
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Application deadline: 29 October by 23.59 o’clock Doctoral programme: PhD in Management and Organisation Apply:https://hanken.rekrytointi.com/paikat/index.php?o=A_LOJ&list=1&lang=en&rspvt
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, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information
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programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and
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environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software
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. Knowledge of renewable energy systems (hydropower, wind, solar) and their grid integration. Experience in mathematical modeling, optimization algorithms, and data-driven methods. Possess a strong academic