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. Location of Vacancy Part/Full Time Full Time Hours per Week 37.5 Work Schedule Monday – Friday 8:30 AM to 5:00 PM Must be willing to work a flexible schedule to meet the needs of the department. Type
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on using unstructured and overset meshes with high-fidelity algorithms to obtain scale-resolved data. Candidate will also post-process data using data-driven and physics-driven methods to extract fundamental
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Position Location: Richmond Campus Driver Classification: Non-Driver FLSA: Exempt Schedule Type: Full Time (37.5 hrs per week or more) Hours Per Week: 37.5 Additional Schedule Details: Posted Salary Grade
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algorithmic performance. For instance, the scheduling problems that an electric grid operator faces will change daily, but not drastically: although demand will vary, the network structure will remain largely
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
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. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
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The research will address key challenges and explore the following areas: 1. Decentralized Scheduling Algorithms: Design algorithms for operational scheduling and rescheduling of shared assets in connected