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Field
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. The PhD research fellow will design droplet flow experiments on fibers and focus on droplet accumulation on fibrous structures when exposed to fog flow. There will also be aspects with coupling droplet
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coatings e.g. oxide and nitride. Drive the comprehensive characterization of thin films using advanced techniques (e.g., SEM, XRD, Raman, AFM, nanoindentation), enabling deep understanding of structure
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group selection management to promote structural complexity, making them a useful test of different modeling approaches in the Forest Vegetation Simulator (FVS). Currently FVS users, which largely consist
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fellow for a research project titled, “Structural modification and update of the U.S. national harvested wood products carbon model (WOODCARB II)”. USDA Forest Service has been using the WOODCARB II model
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the last 5 years or soon to be completed. Demonstrated experience in building machine learning/deep learning models using one or more large scientific data sets involving sequence, protein structures
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deployment. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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either Digital Culture, Comparative Literature or Nordic Literature. The AI STORIES project is a European Research Council Advanced Grant led by Professor Jill Walker Rettberg, with a team of three
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management expert and a research assistant. AI STORIES explores the hypothesis that deep narrative structures in the datasets used to train generative AI models are replicated and perhaps exaggerated in
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devices in appropriate benchtop models Analyze patient data for trends in bifurcation structures Disseminate research results through authorship of journal articles, conference papers, and invention
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possibility of further appointment] Duties The appointees will assist the project leader in the research project - “Advancing large recommendation models: Techniques for high-quality data construction and