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SDU Climate Cluster (SCC) is looking for a postdoc with expertise in Arctic Climatology, Sea-Ice conditions, Anthropology, or other similar fields, preferably with a focus on Arctic Cultures. More
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(LLMs), and Vision Language Models (VLMs) Develop Retrieval Augmented Generation (RAG) models Developing manifold learning (e.g., tSNE and UMAP), unsupervised clustering Analyze electronics health record
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initiative. The NY SMART I-Corridor Tech Hub seeks to shift the trajectory of Upstate New York via the formation of a globally leading semiconductor cluster which designs and delivers semiconductor solutions
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(LLMs), and Vision Language Models (VLMs) Develop Retrieval Augmented Generation (RAG) models Develop manifold learning (e.g., tSNE and UMAP), unsupervised clustering Analyze electronics health record
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fertilizer production, is a major starter client for the University providing capital and research funds. In parallel, a new portfolio of clients is growing with the development of an R&D cluster around the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
to solve major societal problems. Interdisciplinary research clusters that cross disciplines and school boundaries are a vital element of the school. The SDSS is focused on students and education – the
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. Implements and optimizes computing workflows using high-performance computing clusters. Prepare manuscripts, abstracts, and presentations, present findings at internal meetings and international conferences
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collective action projects (Southeast Rivers Trust and the Wye and Usk Foundation), and the North Essex Farm Cluster. Methods include Rapid Evidence and Qualitative Assessment; participatory and grounded place
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cluster around the University and a growing number of international partnerships. Applications and selection procedure: Applications must contain: A cover letter indicating the position applied for and the
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, biologics, and cannabis. Apply statistical and machine learning approaches (e.g., sequence analysis, latent class analysis, clustering) to examine medication use trajectories and patient subgroups