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) • Big data pipelines, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems
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, Civil and Environmental Engineering, Atmospheric and Oceanic Sciences, Geosciences, Computational Science and Engineering, or a related area is required. The position will involve developing models and
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fellowship focused on real world evidence, health economics, patient outcomes, market access and policy research. The program provides interdisciplinary training through hands on industry research, academic
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are the following: Work with PI and others as assigned to develop a career development plan with training /educational goals for fellowship period. Develop, propose, and obtain approval for a mentored research
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postdoctoral or more senior researcher interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling
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are the following: Work with PI and others as assigned to develop a career development plan with training /educational goals for fellowship period. Develop, propose, and obtain approval for a mentored research
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, genetics, and instrumentation functions with the research areas to ensure conformance with the goals and objectives of the PI’s lab. Conducts a continuous program of research and development regarding
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, genetics, and instrumentation functions with the research areas to ensure conformance with the goals and objectives of the PI’s lab. Conducts a continuous program of research and development regarding
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unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
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position for the 2026-2027 year. Renewal is contingent on satisfactory performance and continued funding. The aim of the program is to promote a group of promising scholars in the broad area of comparative