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groups settings. Ability to coordinate with faculty, graduate and undergraduate students, and external collaborators. Skills in parallel computing, parallel application design and development, and
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Research Software Engineer ( Job Number: 25001271) Advanced Research Computing Grade 7: - £38,784 - £46,049 per annum Open-Ended/Permanent - Full Time Contracted Hours per Week: 35 Closing Date : 21
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organize workshops, networking sessions, and pitch events to strengthen engagement with innovators, industry partners, and investors. In parallel, the Program Manager will support the Fund by managing
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skills. Excellent planning and organizational skills. Sound decision making skills. Working knowledge of personal computers. High level of independent thinking. Preferred Qualifications: Extensive customer
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signal processing and/or survey datasets. ML & AI techniques and applications. HPC and orchestration of scientific data processing workflows. Parallel computing (GPU & CPU). good software engineering
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. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based on rank. Positions at the postdoctoral
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& Maintenance policies and procedures. Demonstrated experience to work independently and use initiative in solving problems. Proficient in the use of computers, mobile devices, etc. and learn the use of software
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 10 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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. The successful candidate will play a central role in SLAS’s Parallel Degree Programme (PDP) in partnership with the University of London (UoL), particularly through teaching contributions
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for an accurate simulation of time-dependent flows, enabling sensitive applications such as aeroacoustics. Furthermore, the high scalability on massively parallel computers can lead to advantageous turn-around