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3D embryo images (published and those generated in the Strawbridge Lab). to quantify cell numbers and lineages. A semi-automated pipeline using deep-learning-based segmentation (Cellpose-SAM), machine
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external partners. Topics of particular interest include the novel development and application of machine learning models--such as large language models, multi-modal foundation models, agentic AI, embodied
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Ghorbani, S., Wloka, C., Etemad, A., Brubaker, M. A., & Troje, N. F. (2020). Probabilistic character motion synthesis using a hierarchical deep latent variable model. Computer Graphics Forum, 39(8
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Learning in a broad sense. Particular areas of interest include, but are not limited to, development and analysis of machine learning models for scientific computing, theory and algorithms for sampling
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, to produce synthetic data. Embedding models for wireless channel representation, e.g., transformer-based, leveraging reconstruction or contrastive learning paradigms. Main research field: Telecommunications
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upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects
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, Taoyuan 320317, Taiwan [map ] Subject Areas: Atmospheric Sciences / Remote sensing Meteorology / Typhoon dynamics and numerical modeling Data Mining & Machine Learning / Artificial Intelligence (AI
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image analysis Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine
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the strategy to be applied for training a learning model to predict wind and precipitation conditions based on a dataset combining numerical weather prediction models and in situ observations; Collect
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other data scientists to advance precision medicine research. Your main tasks and responsibilities: Designing and leading analyses that apply state-of-the-art generative machine learning models (e.g