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related scientific disciplines such as data sciences. We are looking for candidates with strong quantitative, analytical, and problem-solving abilities who are eager to engage in research across emerging
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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control for iPSC lines. • Establish and optimize experimental protocols and analytic pipelines for assays (e.g., imaging-based biomarker assays, metabolic flux assays), multiomics profiling, and
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students and technicians Maintain accurate documentation of protocols and instrument logs; liaise with service and facility management Your profile: PhD (or equivalent) in analytical/biological chemistry
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using advanced analytical chemistry methods in the EBCL. The work will focus on targeted molecular analysis using mass spectrometry. Choose Duke. Join our award-winning team and be part of an inclusive
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pharmacogenomics, and computational and analytical skills with full access to cutting-edge tools/technologies and shared core facilities and resources. Grant-writing training opportunities and support are also
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organized into four themes: Analytical Chemistry , Computational Chemistry , Synthesis & Catalysis and Molecular Photonics . The Faculty of Science has a student body of around 8,000, as well as 1,800
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the field of analytical and/or simulation methods for composite materials. You have extensive experience with development and implementation of algorithms for modelling of composites You have experience with
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designated as an R1 institution by Carnegie, UC Merced is committed to innovation and excellence in research. With over 9,000 undergraduate and graduate students (https://cie.ucmerced.edu/analytics-hub
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world-class research, analysis, data analytics, and artificial intelligence opportunities within Office of Policy (OP). Enhance their preparedness for scientific, technological, research and policy