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Field
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to begin September 1, 2025. We will consider strong candidates in any research area but will prioritize Distributed and Parallel Computing. A PhD in computer science or a related area is required
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 13 days ago
Galerkin methods, which are particularly well-suited for parallel computing, and it typically requires solving large-scale linear systems during simulations. The main objectives of this position are to: (1
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 12 days ago
supercomputers. IT4Innovations also operates the first Czech quantum computer named VLQ. For more details, see www.it4i.eu . Activity description: · development of methods for acceleration of parallel applications
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optimizing and parallelizing workflows to run on compute clusters. This position is ideal for someone who is looking to gain research experience, enhance their technical skills, or is considering graduate
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Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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management, cache optimization, and vectorization techniques. Strong understanding of algorithms and data structures, especially those suitable for parallel processing and distributed computing. Understanding
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for the leadership and management of the EPSRC programme grant: Advancing Parallel Mesh Generation and Geometry Representation to Enable Industrially Relevant, High-Fidelity Simulations (REMODEL). The REMODEL project
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of programs for analysing genetic data via parallel programming. Manage, debug and improve code. About you Degree qualification in Computer Science or related discipline. Proven ability in C/C++, Python
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 12 days ago
optimizing and parallelizing workflows to run on compute clusters. This position is ideal for someone who is looking to gain research experience, enhance their technical skills, or is considering graduate
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analyses on a high-performance compute cluster, utilizing parallelization and multi-threading, and mastery of the R statistical language. Experience in neurodevelopmental outcomes and prenatal exposures