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the development, evaluation and application of innovative AI, machine learning and systems approaches to modeling biomedical big data for precision health. We are particularly interested in AI methods
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Modeling, and Pathogen Unit. These units directly support resident DHVI/RBL faculty and are also available to support Duke faculty and their collaborators as fee-for-service shared resources, and each unit
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architectures. This includes among other: (a) design and implementation of machine learning and GenAI models, (b) efficient training and inference on GPU-based systems, (c) fine-tuning and optimization of large
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employment 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
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• Familiarity with LLM in-context learning and prompt engineering • Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented generation, tools/chains, and LLM agents
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highly desirable) AI/ML for predictive modeling and inverse design of nanomaterials Autonomous laboratories for materials synthesis and characterization Generative models, reinforcement learning, and agent
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: https://careers.temple.edu/sites/careers/files/documents/T_Salary_Structure.pdf EXECUTIVE SUMMARY: THE OPPORTUNITY Temple University invites nominations and applications for the full-time, twelve-month
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to deliver research-based educational opportunities that transform lives and communities. The County Extension Director is a community-based professional of the Alabama Cooperative Extension System (ACES) who
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agents, Extension specialists, Family & Community Health Sciences educators, and Agriculture and Natural Resources agents work to serve New Jersey residents in every area of the state. The Rutgers
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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