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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
contribute to the design, development, and experimental validation of novel graybox tunneling algorithms for multi-objective combinatorial optimization, with a particular focus on their parallelization and
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | 8 days ago
in the development and maintenance of the PEPit (https://pepit.readthedocs.io/ ) software package, including adding functionalities related to parallel optimization, Implementation and benchmark
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, scalability and Amdahl's law, Flynn taxonomy, vector processing and parallel computing architectures. Reference: https://artsci.calendar.utoronto.ca/course/csc367h1 Estimated course enrolment: 125 students per
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 8 days ago
the [killMS](https://github.com/saopicc/killMS ) stage and the [DDFacet](https://github.com/saopicc/DDFacet ) stage, both developed in particular by Cyril Tasse from the Paris Observatory. The present Engineer
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BTH's largest department, with just over 70 employees. The department conducts research in computer science, covering the subfields of big data and AI, parallel computer systems, visual and interactive
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grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. We are seeking a motivated Research Fellow to join the Parallel
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
into specialized evolutionary and local-search algorithms, especially by exploiting parallel and high-performance computing to accelerate the search. Consequently, the internship may involve: reviewing
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the completion of the total period of contracting, the selected person will provide services within the framework of the research project ''A100887 Randomized, double-blind study with double masking and parallel
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members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience in sampling algorithms and related areas
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laser arrays Optimization and acceleration of existing simulation codes Parallel computing and high-performance computing (HPC) GPU acceleration, where appropriate Development of scalable numerical