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, cloud computing, and data analytical skills MINIMUM QUALIFICATIONS FOR SENIOR GEOSPATIAL RESEARCH SCIENTIST Master’s degree in geospatial science, geography, earth science, or closely related fields such
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computing platforms. In some cases, the computing has outpaced the methods, and it is incumbent upon us to generate novel views of both the entire data collection, and of focused datasets tailored to
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computing platforms. In some cases, the computing has outpaced the methods, and it is incumbent upon us to generate novel views of both the entire data collection, and of focused datasets tailored to
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computing platforms. In some cases, the computing has outpaced the methods, and it is incumbent upon us to generate novel views of both the entire data collection, and of focused datasets tailored to
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computing platforms. In some cases, the computing has outpaced the methods, and it is incumbent upon us to generate novel views of both the entire data collection, and of focused datasets tailored to
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. This position offers the opportunity to work in a world-renowned research institute alongside faculty, software engineers, PhD students, and PostDocs on the development of cutting-edge AI-ready/agentic
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Qualifications High-performance or cloud computing experience. Experience with large data sets, including spatial data, administrative data, or consumer data. Benefits Yale offers an excellent and
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), Internet-of-Things (IoT) devices, cloud computing, and next-generation communication networks, has greatly expanded the cyber threat landscape. Ensuring the security, privacy, trust, and resilience of
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Python and/or R; familiarity with high-performance and cloud computing environments. • Experience in at least two of: phylodynamics / genomic epidemiology, deep learning for sequence or tabular data
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-performance computing (HPC) environments and/or cloud-based data processing infrastructures Familiarity with workflow management systems (e. g. Nextflow) and workflow orchestration Experience with large