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deep learning models (e.g., adapting methods in [6]) based on spatial cellular graphs constructed from these images to predict clinical outcomes. The research will be carried out using two
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Nurse Directors and maintains communication with the Center for Clinical and Professional Development on student performance. Evidence-based Practice Maintains expertise in the ADNP practice model
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to join our team. In this role, you will design, develop, and deploy state-of-the-art generative AI models, directly impacting our platform's ability to provide interactive and intelligent tools for our
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vector search, embedding pipelines, or retrieval-augmented generation (RAG) components. Contribute to orchestrating AI workflows or agent-based pipelines using Lakehouse AI capabilities. Develop CI/CD
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are based on cutting-edge research carried out within 6 joint research units: GEPEA, IRISA, LATIM, LABSTICC, LS2N and SUBATECH. The proposed thesis is part of the research activities of the team OSE
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model, competency models, and simulation standards of practice. Educates staff on policies and procedures, supporting practice changes based on evidence-based guidelines. Leadership Contributes
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conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ The department's research on responsible and human-centred artificial intelligence
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Postdoc position in modeling and analysis of cyber-physical systems At the Technical Faculty of IT and Design, Department of Computer Science, a full-time postdoc position in modeling and analysis
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) integrate crop, hydrologic, and GHG/energy models to quantify trade-offs among yield, water, emissions, biodiversity, etc., (3) create decision-support tools and maps to guide farmers, extension agents, and
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pathogenesis and their potential as therapeutic agents and diagnostic tools. Using in vitro, ex vivo, and in vivo models, the lab studies EVs derived from amniotic fluid stem cells (AFSCs) and other perinatal