30 parallel-computing-numerical-methods Postdoctoral research jobs at SUNY University at Buffalo
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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
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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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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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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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cutting-edge multi-omics at bulk, single-cell and spatial scales with computational analyses to investigate transcriptome, epigenome and chromatin architecture. Combine multi-omics with flow cytometry and
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Posting Details Position Information Fiscal Year 2025-2026 Position Title Postdoctoral Associate, Chemical & Biological Engineering Classification Title Postdoctoral Associate Department Chemical & Biological Engineering Posting Number R250139 Posting...
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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
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have a Ph.D in Chemistry with a specialization in Analytical Chemistry, chromatography and/or mass spectrometry, statistical evaluation of data and quantitative method validation, be qualified in