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accuracy.; - Integration and evaluation of the proposed techniques in large-scale, high-performance computing environments (i.e., supercomputers).; - Conduct experimental evaluations of the developed
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.; ● Research and develop novel generalizable deep learning computer vision algorithms for EGGIM estimation; ● Publish results in high impact journals and conferences; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME
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with Ansible, Docker, and Kubernetes technologies; - Practical Experience with cloud computing services (e.g., GCP) and high performance computing (HPC). 5. EVALUATION OF APPLICATIONS AND SELECTION
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of the SPDK platform and increasing the range of applications that can utilize it, thereby taking advantage of its high performance and low latency.; ; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING
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.; ●Research and develop novel generalizable deep learning computer vision algorithms for EGGIM estimation; ●Publish results in high impact journals and conferences; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME
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insurance, supported by INESC TEC. 2. OBJECTIVES: Over the years, large-scale infrastructures have been developed to support high computing performance without worrying about energy consumption. With