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Field
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research teams: 1) The AI Group: Experts in systems, control, optimization, Large Language Model (LLM) training, domain adaptation, and instruction tuning, agentic AI orchestration, and reinforcement
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through data-driven modeling and optimization. The successful candidate will work at the intersection of thermal-fluid sciences, control theory, and artificial intelligence/machine learning to advance
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altitude balloons, swarm-capable dropsondes, robotic ocean expendables, etc). Impact can be realized through numerical and AI modeling, heightened situational awareness, optimized sampling, and greater
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bioinformatics. Experience in animal handling and sample collection. Knowledge, Skills, and Abilities Excellent communication skills, ability to work independently, demonstrated creativity and high motivation
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ongoing trials on pain pathways, collects and analyzes neurophysiologic and biomechanical data, maintains regulatory compliance, and contributes to a research direction on personalization and optimization
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to improve cryogenic calorimeter performance and optimize data analysis. Perform data analysis, support operations, and maintain electronics for the CUORE and CUPID R&D experiments. Support the development
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design and synthesis, structure–activity relationship studies, and optimization of lead compounds for biological activity and drug-like properties. Outstanding U of A benefits include health, dental
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, and metabolomics. Design, execute, troubleshoot, optimize, and document experiments with thorough attention to reproducibility and scientific rigor. Compile, interpret, and communicate research findings
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research reports and technical papers for publishing. 3. Investigates the feasibility of applying a wide variety of scientific principles and theories. 4. Maintains substantial knowledge of state-of-the-art
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research in radiochemical separations and advanced aqueous recycling of used nuclear fuel (UNF). The successful candidate will contribute to the development and optimization of advanced aqueous recycling