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Field
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is the construction of tail dependence models that are flexible, parsimonious, and computationally tractable, and scale well as the dimension grows. Recently, Kiriliouk, Lee and Segers (2024, X-Vine
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bring strong expertise in in vivo animal models, confocal microscopy, IVIS imaging, cell culture systems, organoids, tissue slice preparations, and cutting-edge biochemical and molecular techniques. Key
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agents for X-ray spectroscopy by integrating large language models (LLMs) with physics-aware spectroscopy workflows. The researcher will work closely with a multidisciplinary team of X-ray physicists and
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processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from investigating fundamental properties
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an exciting research laboratory with a focus on exploring molecular functionality encoded in genome data. Specifically in this project, we are looking to build deep learning models to explore the alphabet
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cancer. We are seeking a highly motivated scientist to join our dynamic, multidisciplinary research team. The ideal candidate will bring strong expertise in in vivo animal models, confocal microscopy, IVIS
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://arxiv.org/abs/2509.00098 ) This project sits at the intersection of artificial intelligence and materials characterization and modeling. The goal is to create an AI system that can intelligently operate
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mechanisms. Cutting-edge research models (eg. primary cell/organoid cultures, mouse models and human clinical samples) and technologies (e.g. scRNA-seq, CRISPR) are utilized in the lab. the PI is highly
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research models (eg. primary cell/organoid cultures, mouse models and human clinical samples) and technologies (e.g. scRNA-seq, CRISPR) are utilized in the lab. the PI is highly experienced in mentoring
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both modeling and physical experiments of the structure and thermo-mechanical response of single and polycrystalline shape memory alloys; prepare reports, manuscripts, and proposals, advise undergraduate