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: Rethinking AI for Just and Sustainable Futures programme. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by
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-source programming framework SkePU for heterogeneous parallel systems. The work includes participation in the regular project meetings and can also include technical meetings with our industry partners in
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to read Japanese. Experience in parallel scientific programming. Experience with High Throughput calculations. Other research and software engineering experience will be considered Availability to travel
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2022) and with top rankings in Victoria around student support, social equity, skills and employment, we are driven to make difference to every student and the community providing lifelong learning
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for different research applications Knowledge of computer programming languages Experience of working in a high-performance computing environment (e.g. Slurm) and/or with public/private clouds (e.g. AWS/Azure
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Swedish and English are used in parallel at the department. The professor should be able to perform most of their tasks in English. However, as a public authority, the university has Swedish as its main
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/about-slu/work-at-slu/ . Subject Area The subject of the position is restoration ecology with a focus on biodiversity linked to different types of land use in boreal and temperate forest ecosystems
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Computing (HPC) knowledge around cluster builds, software, parallel computing, workload management, and cluster management. Knowledge with CUDA Programming Workflows, GPU programming, and GPU support
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– United Kingdom PhD programme: Harper Adams University PhD programme Fixed term until 30 September 2028 Research project description Agricultural robots and Artificial Intelligence (AI) technologies could soon be
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findings fulfil administrative tasks within the department, the faculty and the university Swedish and English are used in parallel at the department. The professor should be able to perform most