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that are contributed by BON in a Box collaborators. This includes understanding the analysis with support from publications, the team and the contributor, testing pipelines with different parameters, fixing R and python
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transformations, geometric corrections, raster-vector conversions, attribute joins, and data cleaning using tools such as QGIS, ArcGIS, or R and Python geospatial libraries (e.g., R's sf and terra packages
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ruminant nutrition • Experience with quantitative or mechanistic modeling • Ability and willingness to work in Python-based environments Before applying, please note that to work
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empirical research. Applicants should be comfortable working with data and has some experience in either R/Stata/Python/Julia. The position requires strong organizational skills, care in handling data
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(Python, R), good communication skills, and basic knowledge of brain imaging. This position is covered by the AMURE collective agreement: https://www.mcgill.ca/hr/files/hr/2023
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Fortran, Python and Matlab Statistical data analysis and visualization Communicating research results in written papers, reports and oral presentations Education: Bachelor’s degree, or equivalent training
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 14 days ago
the system. Performing various administrative tasks related to the project. Qualifications: Undergraduate student in engineering, computer science, physics, or a related field Programming skills (e.g., Python
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-language scientific and technical programming, including Python, C++, Java, Embedded C, LaTeX, and Swift, for developing algorithms, simulations, and research workflows. Skilled in research methodology
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pipelines (MATLAB, Python, R, JMP) Plasmid engineering and molecular construct design (site‑directed mutagenesis, multi‑fragment cloning, promoter engineering) Flow cytometry and cell sorting Lentiviral and
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to new tools, methods, and subject areas; - Have experience working with digital trace data, survey data, or other quantitative and qualitative research methods; - Have working knowledge of Python, R