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and Applied Sciences Department/Area Electrical Engineering/Computer Engineering/Computer Science Position Description Project Deep learning plays an essential role in the operation of an autonomous
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, reproducible computational workflows for large-scale screening and multiscale model integration. HPC at Scale: Run, optimize, and profile large simulations on HPC systems; ensure efficient parallel performance
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Department of Computer Science of Faculty of Science invites applications for a DOCTORAL RESEARCHER IN MACHINE-LEARNING, STATISTICS AND DATA-CENTRIC ENGINEERING starting from November 2025, or as
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the computational models using benchmarks and experimental results while assessing and improving the performance of algorithms on high-performance computing (HPC) clusters. This is a fantastic opportunity for you to
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contract will offer a dynamic research environment, access to high-performance computing resources, and interactions with experts in ocean modeling and climate sciences. Where to apply Website https
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considered, depending on the needs of the Department and the competence of the applicant. There is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD-program in Ecology within three
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become a core member of a team working on electrical machines, electromagnetic design, magnetic and insulation materials, thermal management, control, construction and testing of high-performance
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Intelligence and High-Performance Computing”, co-financed by the European Union under the Digital Europe Programme (DIGITAL), through the Grant Agreement nº 101083770, co-financed by the Agência para a
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government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial
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experience in computational biology or cancer genomics Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP) At least one first-author peer-reviewed publication Strong communication and