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impact journal articles. Programming and Computing Skills: Ability to read, understand, explore and manipulate scientific data files (e.g., netCDF). Strong programming skills in a tool that allows
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College of Agriculture and Life Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program
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for networked digital twins that support autonomous decision infrastructure for adaptive action with human oversight. This project is part of an ambitious research program to advance how digital twins, agentic AI
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composite dielectrics for advanced energy storage applications. This position is part of a multidisciplinary program focused on the design, synthesis, processing, and characterization of organic–inorganic
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degree in physics or related discipline completed within the last five years. Preferred Qualifications: Experience with modern programming languages, particularly Python. Demonstrated ability
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Ireland Pathways programme and will focus on the development of predictive computational models for advanced functional materials for electrochemical energy applications, with particular emphasis on polymer
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and Life Sciences at Texas A&M University Texas A&M Forest Service Texas A&M Veterinary Medical Diagnostic Laboratory As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | about 3 hours ago
, astrophysics, or a related field. Experience with numerical methods and scientific programming in Python, Fortran, C, or similar languages. Experience with turbulence, rotating flows, convection
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/2026 Position Qualification Position Summary The Department of Environmental, Agricultural and Occupational Health (EAOH) and the Water, Climate and Health (WCH) Program in the College of Public Health
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consideration, all application materials must be received by March 13, 2026. The responsibilities of this position will be to lead data collection and analysis efforts on grant-funded program-related research