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; &/or preparing basic charts & graphs. Responsible for other duties such as preparing charts for the participant visits, setting up and cleaning the exam rooms before and after the visits, entering data as needed
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- Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Graduate Research Assistant will develop machine learning and artificial intelligence (ML/AI)-driven socio
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OpenID Connect Strong understanding of authentication and directory protocols including Kerberos, NTLM, LDAP and LDAPS Experience with PowerShell automation and Microsoft Graph API Experience supporting
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statistics, prepare charts and graphs, and develop meaningful solutions to specific problems. Professional competency in writing, editing and proofreading. Accuracy and attention to detail. Decision-making
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, maintains, and updates queries and reports to fulfill recurring data needs for internal and external reporting requirements. Produces tables, graphs, dashboards, and narrative analysis of data to easily
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, R Shiny, and frameworks for Large Language Models (LLMs) or Graph Neural Networks (GNNs). We are an equal opportunity employer, and all qualified applicants will receive consideration for employment
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computing and decentralized intelligence where a swarm of nodes learns graph dependencies by effectively integrating the structure of distributed systems into neural network architecture. This approach
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systems • Healthcare operations, resource allocation, and workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi
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principles. Proficiency in scripting and automation tools such as PowerShell, Microsoft Graph, or Azure CLI. Experience with monitoring and troubleshooting cloud environments using Microsoft-native tools
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, Qualtrics, Power BI, Excel) - Designing, creating, and implementing data reporting templates and systems (i.e., tables, graphs, charts, dashboards) to support and facilitate internal trend analysis and data