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Field
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animal movement analyses. Geospatial analysis, GIS, and remote sensing. Statistical, ecological, and machine-learning modeling using modern analytical software (e.g., R or Python). Google Earth Engine and
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analysis. You have a strong quantitative background, including a solid understanding of statistics and data analysis; prior experience with multivariate or computational modelling methods is an advantage
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variation in the oral microbiome. These findings create new opportunities to move beyond statistical associations and investigate the functional mechanisms linking host genetics to microbial ecology. The Oral
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command of spoken and written English and Chinese (including fluency in Cantonese) and demonstrate strong skills in statistical analysis, data management, and project coordination. Applicants should also
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) Good numerical and statistics skills and familiarity with text editing software, such as Word, Excel, etc. Knowledge of working in a geotechnical engineering laboratory. Good interpersonal and
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preparation, peptide enrichment, and fractionation. Performing LC-MS/MS analyses using both DDA and DIA methodologies. Conducting bioinformatic and statistical analyses of peptidomic datasets to identify
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contributing to histological and immunohistochemical analyses of biological markers. Analyzing microscopy images and other biological data. Analyzing and visualizing collected data using appropriate statistical
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and written. Good knowledge of data analysis and statistics, including experience working with large datasets. The ability, under supervision, to structure, process and analyse research data and to
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finance, with interest in farming systems. Animal or crop production systems, with proven interest in farm economics. Experience with quantitative methods, such as farm accounting, modelling, or statistical
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differential gene expression analyses Perform bioinformatic and statistical analyses to identify and interpret gene-level genetic and DNA methylation variation between accessions Assist in greenhouse work as