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, multi-stakeholder projects (e.g., residency/fellowship certificate process, accreditation, new curricular pilots) Facilitate committees or working groups; prepare meeting materials, agendas, minutes, and
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and distributed memory programming tools (e.g. OpenMP, MPI) Accelerator programming (e.g. CUDA, OpenCL, SYCL) Serial and parallel debugging and profiling Parallel numerical algorithms and libraries
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courses about parallel computing, computer architecture, programming models and high performance computing. These are your qualifications: Must-haves: • Completed doctoral/PhD studies in Computer Science
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provide powerful tools to improve the quality and efficiency of data-driven models. In parallel to the development of data-driven models for dynamical systems with geometric structures such as Hamiltonian
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of collections of fluid particles distributed over a lattice is here preferred to solving non-linear PDEs. Processing a simulation in this way has some advantages. The low numerical dissipation allows
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 7 days ago
of the compute resource needs of scientific computing applications, particularly large-scale parallel applications. A high level of understanding of and experience in IT security in Unix/Linux environments
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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parallel storage, backup systems, and robotic tape libraries. Develop reports and customize tools that automate the monitoring process of critical systems and alert team of issues automatically. Evaluate
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; Electrical skill to include the use of basic electrical measuring meters and knowledge of simple AC/DC series and series parallel circuits. Skills to use testing equipment including but not limited
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studies with implementation of: existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]; data management and analysis