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, data collection, and statistical analysis. Assist in managing and maintaining research databases and methodological resources, ensuring accessibility for CTN+ investigators. Support the planning and
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both in vitro and in vivo models, such as patient-derived organoids and xenografts. We apply molecular profiling (genomics and transcriptomics) along with histological analysis to explore the mechanisms
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Humanities Research Council of Canada)-funded research projects: “Explaining sound change through mapping the distribution of phonetic biases and automatic speech analysis” (PI: Morgan Sonderegger) and
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techniques and familiarity with cleanroom environments. Proficiency in data analysis and scientific programming languages (e.g., Python, MATLAB, or similar). Proven track record of research excellence, as
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data analysis, statistical analysis and data management - Proficiency in R and/or Python programming - An interest in interdisciplinary research spanning ecology, remote sensing, spatial analysis and
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swine research, statistical data analysis, feed formulation with Brill software, and quantitative research techniques, as well as have excellent communication and writing skills. In addition
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sciences, data science, mathematics or a related field - Strong quantitative skills, including data analysis, statistical modeling and data management - Proficiency in R and/or Python programming - A proven
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, remote sensing, environmental sciences, data science, mathematics or a related field - Strong quantitative skills, including data analysis, statistical modeling and data management - Proficiency in R and
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applicant will be working on applying single molecule fluorescence microscopy and super-resolution microscopy techniques to study: i) the interactions between plasmonic metal nanoparticles and fluorescent
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, viral vector gene delivery optimization, and histological analysis. Experience with fiber photometry, optogenetics, or data analysis with Matlab/Python will be an advantage. The candidate should also