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: CSC367H1S - Parallel Programming Position 1: CSC367H1S, LEC0101 Position 2: CSC367H1S, LEC0201 Please note, this position is a 0.5 FCE appointment. Course description: Introduction to aspects of parallel
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Inria, the French national research institute for the digital sciences | Grenoble, Rhone Alpes | France | about 6 hours ago
of Adrien Taylor and Scott Pesme. The successful candidate will implement and compare different parallel and stochastic numerical optimization paradigms accurately study the selected algorithms, participate
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 6 hours 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 | Talence, Aquitaine | France | about 6 hours ago
of leveraging task-based parallel and distributed programming techniques in the DDF-pipeline software components with the aim to accelerate such processing on high-performance heterogeneous computing platforms
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best practices including node hardening, kernel patching, and compliance across all systems. Manage parallel file systems such as Lustre, GPFS, Weka, or Vast, including performance tuning and capacity
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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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understanding of parallel application development techniques (parallel programming models, algorithms, and software) Preferred Qualifications: Experience in implementing ab initio simulation codes such as VASP
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 6 hours 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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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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information security, information governance and research teams, you will tackle complex storage challenges and contribute expertise across technologies including parallel filesystems, Ceph-based storage, Linux