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] Subject Areas: mathematical modeling, statistics, machine learning, data-driven modeling, dynamical systems, optimization Appl Deadline: 2026/03/31 23:59:59 (posted 2026/02/19) Position Description: Apply
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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and
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promising technology for producing large and complex metal component. Although its potential has been widely demonstrated, significant challenges remain in optimizing the process to ensure the quality
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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and
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of theproject: 1. Initial coordination of the project 2. Optimization of the bed receiver using AI from the data already available. This consists of the operation of the bed under direct and indirect mode, using
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focus on the development and analysis of continuous and discrete models in connection with convex and nonconvex optimization problems and monotone inclusion systems. Our ideal candidate already has
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, surrogate modeling of scientific processes, workflow automation and adaptive simulation pipelines, and performance analysis and optimization. The candidate will also contribute to and help originate research
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focused ultrasound (pFUS) to modulate the tissue microenvironment, optimize islet delivery, and improve engraftment and function in both preclinical and clinical settings. We are seeking highly motivated
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Posting Details Posting Details Job Title HR Process Optimization Lead Requisition Number RE53191 Working Title Department Name 3J510:Human Resources Administration Work Location Lexington, KY Grade
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across clinical, academic, administrative, and research environments. • Creates applications and tools using C#, SQL, PowerShell, and other languages to optimize IAM processes and support rapid business