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Field
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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process diagnostics with closed-loop process control of AM platforms, and work with fellow researchers to implement machine learning algorithms based on in-situ data collection and analysis. Minimum
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, laboratory measurements, data analysis, prototype development, publications, and proposal development, while working collaboratively with faculty, students, and external research partners. In accordance with
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
into practical tools, guidelines, and prototype implementations. Furthermore, the candidate may contribute to broader research efforts, including digital chart compilation workflows, geospatial data processing
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) computer vision for extracting complex patterns, structure, and meaning from images and/or volumes; and (4) new mathematics and algorithms leading to new applications of machine learning and artificial
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background in developmental neurobiology, cannabinoid pharmacology, and in vivo calcium imaging (fiber photometry). You should have experience or a strong desire to learn ex vivo electrophysiology
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Integrate multi-omics data with clinical, cognitive, and imaging phenotypes in longitudinal cohorts Develop and apply statistical and machine-learning models (e.g., mixed-effects models, survival analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
any type of microscopy and imaging techniques is a plus. Willingness to learn new in vivo and in vitro techniques, such as performing animal surgeries, intra-muscular, intra-articular and intravenous
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matter physics, cosmology, particle physics and quantum physics. It has real‑world impact, informing developments in energy storage, improved cancer imaging, quantum computing, nuclear fusion, pandemic