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: Ability to integrate AI solutions with existing enterprise systems, APIs, databases, and authentication services to create cohesive user experiences. Performance Optimization: Experience optimizing AI
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implementing novel and innovative tools, technologies and approaches to fundamental problems in systems and circuit-level neuroscience. For more information about the lab check out: https
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 1 month ago
. & Teresa Lozano Long School of Medicine at UT Health San Antonio is accepting applications for our faculty position EMS Fellowships. Optimal candidates will have completed an emergency medicine residency and
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University of California Agriculture and Natural Resources | Sacramento, California | United States | 23 days ago
, vertebrates) and pests in and around structures (insects and commensal rodents). The Advisor will work closely with public agency staff, licensed structural and landscape pest management professionals, and
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negatively impacting the growth performance by optimizing feed structure (particle size and distribution, and fiber fractions) of pigs and broiler diets. Furthermore, we aim to evaluate Near-Infrared
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support capstone or thesis projects aligned with the research program. Direct Report: To Dr. Senthil Nachimuthu, who will provide structured technical oversight and weekly task direction. Qualifications
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27th April 2026 Languages English English English The Department of Structural Engineering has a vacancy for Two PhD positions in “Micromechanics-based modelling of ductile failure in high-strength
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IT Data Network Full Time 88495BR Job Summary The Senior Infrastructure Engineer serves as a key contributor in the planning, design, construction, renovation, and delivery of infrastructure across
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at laboratory and pilot scale, establishing robust process models, and developing targeted optimization strategies. The most promising enhancements will be assessed for industrial-scale implementation
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: The Learning Variability Network Exchange (LEVANTE) is an open-source, online assessment platform that is designed to provide a framework for measuring developmental variability across cultures (http