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. • Systematically optimize substrate preparation, sample mounting and thermal contact, gas purity, growth temperature, and related process conditions. • Characterize grown material using techniques such as x-ray
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, or other information-rich approaches that can provide calibration and validation data. Comparisons that use these independent benchmarks to characterize the identifiability, bias, uncertainty, and
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operation, feedstock pretreatment and characterization, analytical measurements by LC and GC; experimental design, statistical analysis, bioprocess simulation through kinetic modeling. Additional training in
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Postdoctoral Associate - MEMS/NEMS Fabrication and Characterization for Piezoelectric/Ferroelectric Devices and Emerging Computing Hardware The SonicMEMS Laboratory at Cornell University is seeking a
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Postdoctoral Associate – MEMS/NEMS Fabrication and Characterization for Piezoelectric/Ferroelectric Devices and Emerging Computing Hardware The SonicMEMS Laboratory at Cornell University is seeking
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review Characterizing and correcting for observer-, sensor-, and habitat-specific sources of detection bias The incumbent will have access to multiple datasets, including passive acoustic recordings from
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to generate novel products and characterize their properties and performance using instrumental and sensory analyses. To provide robust scientific insights, this position will also carry out modeling and
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characterize their properties and performance using instrumental and sensory analyses. To provide robust scientific insights, this position will also carry out modeling and validation of processes of utility
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approaches to characterize microbial community structure and function, working with graduate students, manuscript preparation and the potential to follow up on observations in research models depending
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interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches to characterize microbial community structure and function, working with graduate students