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the environmental impact of cloud infrastructures, making this PhD topic highly relevant to national and global sustainability goals. Scientific Objectives This thesis aims to develop novel methods for deploying AI
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. Description: This opportunity is closed to applicants who are Senior Fellows (5-years or more past PhD). Clouds, in particular the frozen phase, bring about the largest challenge and uncertainties
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the collective bargaining agreement for the Inter Faculty Organization which can be found at: https://www.ifo.org/St. Cloud State University is committed to excellence and actively supports cultural diversity
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research, research groups require access to high performance data storage for data-intensive processing, visualization for data analysis, GPUs, access to cloud services and research infrastructure skills
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). Develop robust, reproducible and reusable Python code for model training, inference, and large‑scale computational experiments. Run and manage high‑throughput workloads on HPC or cloud infrastructure
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, Edge-Cloud Computing and AIot Deployment Where to apply Website https://www.galaxie.enseignementsup-recherche.gouv.fr/ensup/cand_recrutement_en… Requirements Research FieldComputer scienceEducation
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Required qualifications: - PhD degree in physical sciences or in related disciplines: automation, electronics, electrical engineering, mechanical engineering or materials engineering, - scientific
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modelling. You will help support two PhD students also focusing on pharmacokinetics aspects within Cote d’Ivoire and Malawi and work closely alongside other national and international PhD students and PDRAs
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. Qualifications Required Qualifications: An earned PhD and/or MD degree in psychology, neuroscience, pediatrics, or a related field. Extensive experience collecting MRI data on sleeping infants. Preferred