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or machine learning. Excellent programming skills in Python and deep learning frameworks. A collaborative mindset and interest in socially impactful research. Experience with sign language data, multimodal
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Details Title Postdoctoral Fellow in Neurobiology (Ponce Lab) School Harvard Medical School Department/Area Neurobiology Position Description Postdoctoral fellow in visual neurophysiology and deep
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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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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 University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
Research Framework Programme? Not funded by a EU programme Reference Number EU-59005 Is the Job related to staff position within a Research Infrastructure? No Offer Description AI and Deep Learning
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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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Experienced in A.I., Deep Learning, and Simulations. Physical Requirements & Working Conditions Degree Requirement Listed degree qualification is required at time of application Posting Information FLSA Status
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disciplines associated with geography, soil sciences, hydrology, civil engineering, or related discipline, with research expertise in geospatial AI, deep learning foundation models, hydrology, river science
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multi-omics data and the use of machine learning and data science techniques. Strong publications record according to his/her career stage. Skills: Excellent programming and scripting skills, with deep
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spans quantum mechanics, statistical physics, and deep learning and aims to enable AI-guided predictions of synthesizable and functional materials such as energy storages, catalysts, smart-alloys, energy