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for the Tallapoosa County 4-H program. For the County 4-H Program, the Agent Assistant will work with schools and volunteers to coordinate and/or facilitate in-school, after-school, and special interest community 4-H
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as designed by the Fellowship Director and Program Faculty. Completes scholarly projects during the fellowship year, including an evidence-based practice initiative and/or quality-improvement project
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-rounded program that develops youth through school and community-based programs; recruiting and training volunteers and leaders to work with youth; utilizing and/or developing councils, advisory groups, and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 13 days ago
Fellowship Job Status Full-time Hours Per Week 35 Offer Starting Date 9 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Fellow_BI
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-resources/payroll/ Cover letters may be addressed "To the Search Committee." Postings active on the website, accept applications until closure. For information on the Dual Career Program, please visit: https
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. Topp. The project will be part of a collaborative project with a research group at Linköping University (headed by Prof. Fredrik Heintz). This project targets agent-based multi-robot interaction within
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integration patterns, ensuring that data is trustworthy, discoverable, interoperable, secure, and prepared for advanced use cases such as RAG, vector search, semantic layers, and agentic workflows. *Applicants
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at the interface of biological physics, agent-based simulations and machine learning to turn quantitative imaging data into a mechanistic, testable model of spindle positioning. In particular, we expect
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therapeutic agents necessary to implement the treatment, disease prevention, or rehabilitative plan of care. Perform skin tests, immunizations, phlebotomy and the initiation of peripheral venous access. Observe
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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