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Field
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experiments, and connect them into live experimental campaigns so that AI checks every candidate before it reaches the robot deployed on the Genesis American Science Cloud with the Materials Project as
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of reproducible bioinformatics pipelines using workflow-management and containerization tools, or high-performance or cloud computing for large genomic datasets. Experience with single-cell RNA-seq analysis using
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authoring. Scientific project management experience, including coordination of multi-partner research activities. Experience with cloud computing platforms (e.g., AWS and Microsoft Azure). Experience with
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experience in cloud computing and utilizing data from the All of Us Research Program are particularly well-suited for this position. Outstanding U of A benefits include health, dental, vision, and life
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. Experience using high-performance computing and/or cloud computing. Ability to work independently as well as collaboratively in an interdisciplinary research environment. Strong written and oral
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, data pipelines, database management, SQL, REDCap, cloud or high-performance computing environments, and reproducible research practices. Excellent communication, stakeholder engagement and collaboration
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aim of EOSC-ARENA is to develop a sovereign, generative and agentic AI environment for scientific researchers, integrated with the European Open Science Cloud. You investigate the impact of AI
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edge-cloud networks. Additionally, the project will develop novel approaches to implement an adaptive approach to policy and governance management across distributed networks based on operating context
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evidenced by publications or submitted manuscripts in refereed journals Experience with computational protein design (desirable) Experience working with cloud/HPC environments, workflow orchestration
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software development, cloud computing, data engineering, algorithm design, or scalable computational workflows is a strong plus. Excellent written and verbal communication skills, with the ability to work