25 parallel-computing-numerical-methods Postdoctoral positions at SUNY University at Buffalo
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: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
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Posting Details Position Information Fiscal Year 2024-2025 Position Title Postdoctoral Associate, Biomedical Informatics Department Classification Title Postdoctoral Associate Department Biomedical
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Posting Details Position Information Fiscal Year 2024-2025 Position Title Postdoctoral Associate (PRODiG+ Scholar), Computer Science Classification Title Postdoctoral Associate Department
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: Artificial Intelligence / Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics
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As a postdoctoral research associate in the department of Physics, this position will support the research program of Prof. Nie (PI)’s projects focusing on investigating novel organo-inorganic hybrid
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will require the theoretical and practical application of a body of highly specialized knowledge. Tasks you will be responsible for may include: organize and implement research plans develop methods
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are not limited to: organize and implement research plans develop methods or research that incorporate highly specialized training in a specific specialty conduct tests procedures and engage in data
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the area of nonlinear waves and integrable systems. The specific objectives of the project are to: Development of perturbation methods for multicomponent integrable systems on a nontrivial background Study
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. This requires identifying suitable dataset/parameterizations from literature reviews, accessing datasets from data archive and observation servers, or developing novel analysis methods. Creating scripts
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/parameterizations from literature reviews, accessing datasets from data archive and observation servers, or developing novel analysis methods. Generate regional sea-level dataset. Collecting and preparation