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include R, Python, mySQL, MATLAB and JavaScript, or other GIScience. Preferred Qualifications: Experience in developing scientific data management tools/processes to manage large volumes of data originating
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, sociology, or other relevant fields. Experience with analysis of large health science databases or studies Analysis experience in R, SAS, STATA or a similar statistical programming language Demonstrated
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neuroscience, or a related discipline Research experience in early cognitive development / implementation science Excellent statistical abilities, demonstrated proficiency in statistical language (e.g, R
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EMS mutagenesis protocols in plants. Prior work involving biochar, soil amendments, or sustainable forestry applications. Experience with R, Python, or other bioinformatics tools for omics data analysis
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AEST (Job Reference Number: R-51455).
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statistical software (e.g., SPSS, R, or SAS) and familiarity with research databases. Excellent communication and interpersonal skills are essential. High level of motivation, attention to detail, and a
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 17 hours ago
or intervention research. Experience with both qualitative and quantitative data collection. Experience using qualitative (e.g., NVivo or Dedoose) and quantitative analytic software (e.g., Stata or R
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of bioinformatics (RNA-seq pipelines, Python/R) and sequencing technologies (nanopore, single-cell, ATAC/ChIP-seq). Knowledge of genetic regulation and lncRNA function in immune contexts Excellent data analysis and
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following computing skills will be considered an advantage: Natural Language Processing and LLMs; R; Python. Applicants must be fluent in English. Applicants who have completed their education outside
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. E Relevant knowledge or experience using secondary longitudinal datasets such as Understanding Society or a willingness to learn. E Relevant experience and skills in quantitative analysis using R