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datasets and remote sensing products (e.g., satellite-derived indices, geospatial data analysis) is highly desirable. The selected candidate will also provide support (30%) to a second project focusing of
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Documents) Resume/CV Cover Letter Contact Information for 3 Professional References Additionally, upload the following documents within the Application Questions section of the application: Research
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experiments Demonstrated ability to analyze experimental data (e.g., in Python, MATLAB, or equivalent) KEY RESPONSIBILITIES AND ACCOUNTABILITIES 1. Design, perform, and analyze nanoscale magnetic resonance
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research using mixed methods, qualitative and quantitative research designs including interviews, focus groups, surveys, and experiments, analyzing quantitative and qualitative data, publishing in leading
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variation in proboscideans across North America. Responsibilities include specimen sampling, laboratory analysis using ZooMS and related proteomic techniques, data analysis and management, collaboration with
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scaleup data, and support techno-economic and sustainability assessments when appropriate. 4. Characterize feed materials, intermediates, and products using appropriate analytical tools, such as, XRD, SEM
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particularly, finding proper references, creating schematic diagrams and compiling preliminary data for the proposal. Requirements Minimum Acceptable Education & Experience: PhD Knowledge, Skills & Abilities
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research associate to advance the analysis, quality assurance, and calibration of automated pavement condition data and pavement performance modeling. The successful candidate will contribute to two
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, including techno-economic and life-cycle assessment, to guide designs toward scalable, low-carbon fuel pathways Characterize materials and analyze performance data to establish structure–performance and
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chemical genomics data Familiar with use of high performance computing facilities Ability to communicate with experimental chemists and biologists Ability to develop research plans for executing strategy