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Infrastructure? No Offer Description Use real-world vessel data, agent-based modelling and digital twin technology to accelerate the transition toward zero-emission inland shipping. Job description The
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(CCI) and Graduate Council (GC) in curriculum, course, and program approval; academic advising and degree audit support; functional processing oversight of the Academic Information System (AIS) and other
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membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees/benefits/ for more information. If you are looking for a rewarding career
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Appointment Term: One year, renewable for up to five years. Appointment Start Date: Flexible, though preferably by August 2026 Group or Departmental Website: https://med.stanford.edu/medphysics.html(link is
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-9820. Department: District Director * Ouachita (Carla Due, Kris Boulton) Department's Website: https://www.uaex.uada.edu/ Summary of Job Duties: The County Extension Agent – Family & Consumer Science
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-9820. Department: CEA * Staff Chair * Columbia County Department's Website: https://uaex.uada.edu/ Summary of Job Duties: The County Extension Agent – Family & Consumer Science/4-H conducts practical
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Assistant for 4-H Youth Development, you will be responsible for providing administrative support to the 4-H Youth Development program area and the 4-H Youth Development County Agent(s). You will report to
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, including physics-based, network-based, agent-based, or stochastic simulations for system analysis, experimentation, or decision support. Skills & Attributes Required Strong proficiency in Python and modern
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software for quantum-chemical simulations based on AI and ML methods, including defining and creating AI agents, testing methods, and large-scale calculations We offer employment as a university professor in
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qualifications: Coursework or thesis work in complex systems, network science, agent-based modelling, transport modelling, urban analytics, resilience, computational social science, data science, machine learning