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Field
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characterization. The successful candidate will contribute to an externally funded research program focused on understanding structure-performance relationships in molybdenum-based zeolite catalysts for methane
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will play a key role in ensuring that these complex data streams are acquired, synchronized, quality-controlled, modeled and interpreted with the highest level of technical and analytical rigor. Main
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two complementary research groups - Advanced Doped Diamond Materials (AD2M) and Gas Sensors and Functional Materials (GSFM) - the department develops high-quality thin films with tailored structural
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conditions and gas-phase chemistry to CNT morphology, structure, purity, yield, and bulk-material performance. Work with collaborators developing CNT fibers and wires to identify the synthesis characteristics
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control structures and advanced control methods and are comfortable working with mathematical models of complex technical processes. Experience with modelling of thermo-chemical or process systems
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modelling approaches, including integrated assessment modelling, material-flow analysis and life-cycle assessment, while developing robust and reproducible workflows using large and complex datasets
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synthesis out of fossil-based and one time use to continuous reuse of polymeric products. Current recycling methods cannot recover high-value polymers from complex waste streams such as multilayer packaging
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Cancer Center (Director Dr. Stephen Nimer), the only NCI designated cancer center in Southern Florida. The successful applicant will analyze complex genomic datasets originating from patient samples
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under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and complex piece of research
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contribute to research on applied machine learning methods that support robust decision-making under uncertainty. This may involve working with structured datasets, panel data, text data, regulatory documents