23 parallel-computing-numerical-methods-"DTU" Postdoctoral positions at SUNY University at Buffalo in United States
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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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. 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
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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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modern theoretical and computational techniques. Responsibilities include: Working with our experimentalists and computational scientists to build relevant database of materials of interest. Using modern
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position. The successful candidate will be driving cutting-edge research into textile fiber recycling sorting technologies using spectroscopic and hyperspectral methods coupled to machine learning techniques