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Field
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experience in hydrological or Earth system modeling, with emphasis on process understanding and prediction. Strong background in computational sciences, including numerical methods, high-performance computing
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eligible for tenure Key Responsibilities: The applicant must be self-directed, detail-oriented, and adaptable in a high-intensity environment. Excellent communication and interpersonal skills are essential
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agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a
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. Solid skills in at least one programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning
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, Climate Science or a related field. Experience in earth system modeling, data assimilation, and remote sensing of land surface variables. Experience with parallel computing on high performance cluster
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: 2024120 Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances
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excellence in advancing artificial intelligence, characterized by a strong publication history in top-tier venues and a research background outlining significant contributions to AI that demonstrate high
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About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed
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acquisition and applied research. The research team has access to more than 100 generative AI models through Cornell’s AI gateway and high-performance computing resources via Empire AI. This position provides
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career success, especially in pursuit of high-quality publications and extramural fellowship training support. Ability to exhibit continuous intellectual ownership of the assigned research project