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Field
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) who are willing to work within a multidisciplinary team in a fast-paced research and development environment, learn new skills, and produce high-quality research products. The positions are part of a
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is flexible, with opportunities available as early as Spring 2026. The initial appointment is for one year, with the possibility of renewal contingent upon performance. Finalists for this position must
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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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, 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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entered. Failure to provide all job application data could result in an invalid submission and a rejected application. Compensation Philosophy: Recruit and retain high-performing workforce through
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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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. Experience in numerical methods and CFD development using mesh-based scientific codes. Expertise in the lattice Boltzmann method (LBM) as evidenced by their publications High performance computing (HPC
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) Knowledge of machine learning or foundational modeling applied to biomedical data Strong publication record in computational biology, systems biology, or AI for healthcare Experience in high-dimensional data
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++, or similar languages. Demonstrated expertise in machine learning, especially in the context of dynamical systems modeled by differential-algebraic equations. Experience with high-performance computing and the
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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