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a central role in the AQUAPAT project. This project aims to develop operational tools based on new molecular technologies to enable simultaneous and accurate monitoring of pathogens and their
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agentic workflows. *Applicants must be authorized to work in the United States. The University is unable to work sponsor for this role, now or in the future. Minimum Qualification Knowledge and skills
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Grade Level 00 Salary Range Type of Position Staff Position Time Status Full-Time Required Education No set minimum requirements. Click here for more information about equivalencies: https://hr.uky.edu
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Level 00 Salary Range Type of Position Staff Position Time Status Full-Time Required Education No set minimum requirements. Click here for more information about equivalencies: https://hr.uky.edu
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grapevine pathogenic fungi. Based on these experiments, the most promising biocontrol agents will be selected for further studies on their mechanisms of action. Using metabolomic analyses, we will investigate
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online support platforms (e.g., 7Cups), we are developing prototypes that use LLM and conversational agents to deliver scalable, experiential micro-skills training (such as empathy, active listening, and
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Leitchfield, KY Grade Level 00 Salary Range Type of Position Staff Position Time Status Full-Time Required Education No set minimum requirements. Click here for more information about equivalencies: https
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of the circulation of infectious agents in populations of marine vertebrates in the Southern Territories. The main models considered are seabirds (albatrosses, penguins, petrels, wrasses) and marine mammals (elephant
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Minnesota State Colleges and Universities, System Office | Saint Paul, Minnesota | United States | 15 days ago
practices, data analysis tools (e.g., Power BI, Tableau), and Microsoft Power Platform (e.g., Power Automate, Power Apps, and Power Virtual Agents). Demonstrableexperiencedevelopingandexecutingenterprise
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behaviours of multi-agent systems in response to changing internal states and external environmental conditions. Both traditional model-based approaches and modern learning-based control techniques will be