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-dimensional variable selection, longitudinal and survival analysis, machine/deep learning, bioinformatics methods in -omics data are preferred. Demonstrated evidence of excellent programmin g, collaboration
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key regulators of inflammation and tissue remodeling in gut and skin diseases. • Apply and refine AI/ML methods, including deep learning, neural networks, and interpretable models (e.g., SHAP, BioMapAI
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techniques such as artificial intelligence, Deep Lab Cuts, and neural mapping. The Integrative Neuroscience Research Center at Marquette University offers an outstanding and highly interactive environment
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2019, unites top PhD students in all areas of data-driven research and technology, including scalable storage, stream processing, data cleaning, machine learning and deep learning, text processing, data
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Applications are invited for a position in the rapidly expanding data analytics run by Prof Adam Dubis. The main focus of the team is to develop deep learning tools for prediction of disease progression
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coursework and GitHub repositories; Postdoctoral candidates must have extensive expertise in deep learning for medical image analysis. Compensation You will join a dynamic international research group; You
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(APC) is part of the Deep Underground Neutrino Experiment (DUNE) which is an international collaboration with more than a thousand members and more than 30 countries involved. The project is hosted by
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, formatting and visualizing/interacting with big acoustic and satellite datasets. Collaborate with AI specialists to train and validate deep-learning models for biodiversity classification. Participate in field
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exposome and dynamic exposome modeling, learning in timeseries and spatial data, and hybrid deep learning-causal modeling. The successful applicant should have significant research experience in at least two
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passion to conduct research and innovation activities on the implementation of Integrated pest management programs with a deep knowledge on the biology and management of pests affecting agricultural crops