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anesthesiology, diagnostic imaging, animal nursing, epidemiology, laboratory animal medicine, surgery, clinical pathology, medicine, and domestic animal reproduction. In addition, the SLU University Animal
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systems based on massively parallel hardware architectures Combination of programmable logic, tensor processors and general-purpose CPUs for real-time adaption and scheduling services (e.g., AMD Versal
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. Integrate the feed chemistry data being developed in a parallel project. Travel to India to help implement the updated model. This would be as needed and no more than two times per year. Conduct a comparative
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 2 months ago
-09731 Requirements Skills/Qualifications Candidate profile - Master degree Computer Sciences. - Experience in scientific programming (e.g., Python, C++, Fortran, Julia) and parallelization
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are critical to achieving success. Ability to work on and track multiple tasks in parallel, maintaining progress and quality. Proficient in the use of, or ability to quickly learn, project management
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other labs will be developed for comparison with other techniques and computer IRIS Lab for analyses of the 3D mapping by IA models References [1] A. Kiełbasa, K. Kowalczyk, K. Chajec-Gierczak, J. Bała
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or exceeds these requirements while expeditiously furthering the research objectives of the Department of Dermatology. This position must be able to work independently on multiple research projects in parallel
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 23 days ago
. - COMPETE2030-FEDER-00731800, Operation No. 16163, funded by COMPETE2030 and national funds (FCT) under Notice no. MPr-2023-12. Host Institution: i3S - Instituto de Investigação e Inovação em Saúde, Porto
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algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
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components, integration into a wearable format, and establishing a consistent build, test, and quality-check process so that multiple units can be manufactured with comparable performance. In parallel