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in Population/Community ecology Proficiency with R and statistical methods are an asset Biology 301 Biology courses Strong background in scientific writing Biology 302 Population Genetics/Evolution
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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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analysis of experimental data with additional insights into data mining and evaluation of machine learning. The course will use the R statistical package. However, the main principles of data analysis
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
) Currently Scheduled: Section (03) T/R 11:35am – 12:55pm The part-time academic will be responsible for all aspects of teaching and administering the class, including admission, lectures, test preparation
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 19 hours ago
/R 10:05am – 11:25am The part-time academic will be responsible for all aspects of teaching and administering the class, including admission, lectures, test preparation, evaluation, and electronic
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projects including working with raw sleep study data, and PopDataBC data. · Proficiency with Microsoft Office, database handling, and software and hardware troubleshooting including R. · Team
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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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(RS) Proficiency in the software packages ArcGIS Pro and ENVI Good communication skills Other Qualifying Skills and/or Abilities Knowledge of R, Python and/or SQL, and the use of LLM prompts Before
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related to equity, diversity, and inclusion Preferred Qualifications Advanced knowledge of R, Python, or other coding language for public health analytics. Some knowledge of quantitative research methods
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). Advanced Statistics: Preferably graduate students in Statistics. Data Science in Python/R: Preferably those with project experience in each language. AI/Society: Preferably those with programming experience