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. Strong coding skills in Python or a comparable programming language are expected, with the ability to develop analysis pipelines and tools that meet project deadlines and are suitable for publication
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author publication(s) in journals relevant in your field and/or shared as preprints Strong statistical foundation and expertise in R or python for data analysis Fluent in written and spoken English and
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, Biostatistics, or related fields Extensive experience with spatiotemporal models Exceptional programming proficiency in languages such as R or Python. Previous experience analyzing ecological or similar data
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certifications in Tableau, AWS QuickSight, IBM, or Google would be an asset. Proficient in advanced SQL, Python/R, Excel, and analytics frameworks. Skilled in Visualization and BI Tools (Power BI, Tableau
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variety of data analysis tools and software. For example, MS Excel, R, Python, SPSS, Tableau, etc. Strong skills in data visualization and communication through charts, graphs, and other formats
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, Genetics, Cell Biology, Biophysics or a related field - Competency in computational (R or Python) and statistical analysis - Competency in experimental design and standard molecular biology, imaging
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in programming with languages commonly used in AI development (e.g., Python, R, Java, C++, JSON). Experience in designing, developing, and evaluating AI/Machine Learning models. Excellent analytical
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and scalable pipelines (e.g., using Snakemake, Nextflow, or custom scripts). Automate common data processing workflows in bash, R, or Python. Maintain version control using GitHub and contribute
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, including spreadsheets. Advanced excel skills required. Knowledge of Linux environment and Python programming is an asset. Bilingual, excellent oral and written communication skills in both English and French
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general programming languages, such as R or Python, leveraging advanced expertise for data processing and visualization. Demonstrate proficiency with simulation model development and parameterization