29 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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technologies experience with computing languages and using 2D and 3D numerical models experience with presenting at conferences and writing journal papers and grants Physical Demands Salary Range $50,000
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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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Postdoctoral Research Opportunity: Lipid Biology, Cell Death, and Evolutionary Genomics. We are seeking a highly motivated Postdoctoral Associate to join our collaborative research program at the intersection
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projects. Duties may include, but are not limited to: organize and implement research plans develop methods or research that incorporate highly specialized training in a specific specialty conduct tests
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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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approaches into urban climate resiliency initiatives in the US and globally. Candidates should demonstrate interest in method and protocol development supporting translational research on climate-focused
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and implement research plans develop methods or research that incorporate highly specialized training in a specific specialty conduct tests procedures and engage in data collection analyze, evaluate
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research plans develop methods or research that incorporate highly specialized training in a specific specialty conduct tests procedures and engage in data collection analyze, evaluate, and present findings