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Field
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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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bridging satellite remote sensing applications with large-scale AI, high-performance, and innovative computing. Within national and European projects, you will collaborate with our partners and drive
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scan speed. In parallel, the fabrication of composition-graded structures requires combined control of laser power, scan speed and powder feed ratios, continuously responding to the changing process
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 13 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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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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& Technology and Systems & Networking. The Parallel Computing Systems (PCS) group at the University of Amsterdam performs research on the design, programming and run-time management of parallel and distributed
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of interpretability methods to ensure ML outputs are meaningful in scientific contexts. Preferred: Background in biomedical data, healthcare, or AI for life sciences. Experience with parallel computing. Familiarity
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Information Tax-exempt Fellowship Job Status Full-time Hours Per Week 45 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to
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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