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course objectives. Make optimal use of available technology to enhance instructional methods. Supplement and alter, where appropriate, lesson plans, assignments, tests, and materials. Maintain accurate
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, recall, F1, correlation, agreement statistics) Experience with version control (Git) and collaborative coding practices HIGHLY DESIRED Experience with prompt engineering and LLM optimization Background in
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Level 14 Salary Range $81,328-156,062/year Type of Position Staff Position Time Status Full-Time Required Education BA Click here for more information about equivalencies: https://hr.uky.edu/employment
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monitoring for radiofrequency signals for various applications as anomaly detection, modulation classification, sensing, and adaptive spectrum optimization, we are now looking for a Postdoctoral Fellow with
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, materials science, or a closely related discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc1/ DC2: Synthesis and Transport Studies of Magnesium-Based Thermoelectric Materials Host
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capabilities. This position provides advanced scientific expertise and operational leadership in vector production, process optimization, technology transfer, and analytical method development at the Powell Gene
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the fields of distributionally robust optimization, contextual stochastic optimization, decision-dependent uncertainty, robust & stochastic optimization foundations, conic & convex optimization, or simulation
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PhD fellowship (R1) to work on the MSCA project SAILING. The tasks to be carried out will be focused on developing a distributed energy optimization local controllers leading to the grid edge conceptual
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for supply chain and marketing optimization. The project will integrate machine learning, deep learning, foundation models, and interpretable AI approaches, ensuring scalability, robustness, and industrial
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and Radiological Science in Baltimore, MD is seeking a post-doc research fellow to be hired in the FELIX 2.0 laboratory (https://thefelixlab.jhmi.edu/ ). This is a full time, post-doc position. We