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-generation sequencing assay for clinical use (LDT) and developing and optimizing methods to conduct assay manufacturing in house or in a mobile setting under ISO conditions for clinical use. Where will I be
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gas and other energy resources, policy assessment methods, including economic and modeling skills, and computer software products Research experience Excellent written and oral presentation skills Both
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environmental and social impacts; 2) enhance the integrity and efficiency of the FPL’s research efforts through the development, evaluation, and application of modern statistical methods; and 3) provide life
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. The participant will be a part of method development, validation and application of novel methods for analysis of per- and polyfluoroalkyl substances (PFAS) in food and food packaging, develop and validate new
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communicate as a team member Willingness to handle livestock and post-mortem specimens Wet lab experience (e.g. pipetting, aseptic technique) Formal communication of scientific results (e.g. conference
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and organization of these studies. Learning Objectives: The participant will learn methods to quantify and / or determine the prevalence of bacterial pathogen loads in irrigation water, novel filter
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statistical software. Learning Objectives: Learn about the implementation of the application of machine learning methodologies in plant phenotyping and genotyping for the sugarcane molecular biology lab. Learn
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. Experience in the use of good laboratory practice in collecting and managing analyses performed in a research study. Experience with statistical analysis (e.g., R or SAS software packages) of datasets. Point
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software platforms, smoke emission factors and total smoke production by factor will be accounted for and differenced for the range of burn conditions as above. This research will involve a collaborative
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areas. These include, but are not limited to: Learning about technical writing methods and standards for government reports Gaining experience in numerous science areas related to the human