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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 8 days ago
of this project is to develop advanced numerical strategies for passive imaging of the Earth and the Sun. The position focuses on enhancing the capabilities of our massively parallel software, Hawen (https
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 7 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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to basis set size. We are working on methods that will allow us to solve the time-dependent Schrödinger equation more quickly. In this project you will develop new (parallel) methods based around accelerated
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other research services and resources. Strong programming skills in languages such as C, C++, Fortran, Python, or other languages commonly used in HPC environments. Deep understanding of parallel
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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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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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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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, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to ensure
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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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for scientific computing to support users in the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms