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of 3D data / point clouds. Knowledge of libraries or tools such as PCL, Open3D, PDAL, and CloudCompare, as wellas machine learning/deep learning methods applied to 3D data, will be considered an asset
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have a passion for the deep-sea and like join expeditions to the Arctic Ocean to explore how deep-sea life is connected to our climate? Do you enjoy working in an interdisciplinary research setting
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
that could eventually be used in the clinic. The Postdoctoral Research Associate will develop diagnostic and prognostic deep learning models for Alzheimer’s disease, using rich existing multimodal datasets
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/ Population-scale multiome immune cell atlas reveals complex disease drivers https://www.medrxiv.org/content/10.1101/2025.11.25.25340489v1 A structure-informed deep learning framework for modeling TCR-peptide
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. The position combines Empa UESL’s expertise in developing and accessing energy system models with the methodological expertise of the IMOS Laboratory in machine learning and foundation models. Postdoctoral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 11 days ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
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conferences and journals, specifically in Computer Vision and/or Natural Language Processing Proficiency in python and deep learning libraries (pytorch) Proficiency in git, Docker, python, and SQL Experience in
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statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision
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delivered the breakthroughs that made RNAi therapeutics possible and are just at the beginning of what’s possible. Our deep pipeline, late-stage programs, and bold vision reflect our core values: fierce