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in the Innovation Hall Maker Space to provide project support, supervision, and direct instruction to students in the use of electronic and computer instrumentation and equipment to make and test
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in data analysis, mathematical modeling/computer simulation, and best practices in rigorous and reproducible science. The appointee will play a central role in developing, evaluating, and refining
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optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
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Assistant Professor - Information Systems, Operations Management, Supply Chain Management, and Busin
AI/ML methodologies , advanced analytics , and data-driven decision making to solve contemporary business challenges. Research methods of particular interest include machine learning , deep learning
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intelligence models for the analysis of multispectral remote sensing imagery. The main tasks include implementing computer vision and machine learning methods for the detection and prediction of algal blooms in
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. He/she may also participate in teaching: Dependable Software Engineering, Software Verification and Validation Methods (apprenticeship), and Computer System Dependability (apprenticeship). He/she will
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proper method of repair. Oversee layout, allocation, and tracking of space among multiple labs; manage logistics of laboratory moves; implement plans for renovations of equipment and or/facilities in
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the Commission on Colleges of the Southern Association of Colleges and Schools. We invite you to become a part of the Southwest Team! Title: Adjunct Faculty Pool - Computer Engineering Technology Employee
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. Knowledge/Skills/Abilities Knowledge of multiple computer environments, platforms, and technologies. Knowledge of IT issue resolution methods and practices, and new and innovative customer support methods and
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computer-aided machining equipment CAM/CAD software programming MS Office Suite proficiency (Excel, Outlook, etc.) Ability to mentor and supervise undergraduate and graduate students in machining best