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flows, or reinforcement learning-based design optimization. Strong programming skills in Python with experience in PyTorch, JAX, or equivalent deep learning frameworks. Ability to work independently
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reconstruction and deep learning techniques. Participates in publications, scientific abstracts, and presentations as first author or co-author. Presents research results at scientific meetings. Participates in
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/colleges/cas/ ) at the University of Delaware (https://www.music.udel.edu ) is to provide the highest level of educational opportunities for music majors’ professional learning as performers, educators, and
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/unsupervised learning (regression, classification, clustering), ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) and radiomics preferred
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++), Deep learning tools (PyTorch) Computer Vision tools (OpenCV, MeTRAbs) English scientific communication skills. LanguagesENGLISHLevelGood Research FieldComputer science Additional Information Benefits
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postdoctoral researcher to join the research group led by Ekaterina Shutova (https://www.shutova.org/) , part of the natural language processing research unit of the Institute for Logic, Language and
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About the Opportunity Program Overview Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the education
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, labs, and clinical events Apply deep learning and transformer-based approaches to longitudinal EHR data Integrate multi-modal data (EHR, labs, vitals, imaging, etc.) • Position 3: Postdoctoral Researcher
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Expertise: Familiarity with supervised/unsupervised learning (regression, classification, clustering), ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g
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. The primary objective is to develop computational methods, using deep learning–based protein design, for the successful design of 2D lattices. These methods will then be applied to generate designs targeted