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, maintaining, and documenting open-source software tools or R packages Experience with geospatial analysis, environmental databases, and cloud or high-performance computing workflows Demonstrated record of peer
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. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g., GEE Python API). Experience with airborne lidar data processing and canopy height modelling. We will place
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. Experience with git and Github. Ability to conduct independent and collaborative research. Strong English language writing and communication. Additional Desirable Qualifications High-performance or cloud
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the project leader in the research project - “Development of automated surface waviness detection and analysis from high-density point clouds”. They will be required to: (a) conduct advanced research on
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. Experience working with satellite remote-sensing data such as Landsat, Sentinel, MODIS, SAR, LiDAR, or derived land-cover and vegetation product, and experience with in-the-cloud image processing Experience
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role of land–atmosphere interactions in S2S predictability; impacts on boundary layer processes, aerosol-cloud interactions, precipitation, and hydrological extremes, including feedback mechanisms
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learning frameworks such as PyTorch, JAX or TensorFlow, alongside experience with large-scale model training, GPU/HPC/cloud computing environments, Linux, version control and reproducible research workflows
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the McGill BioPortal. Develop and maintain reproducible analysis pipelines in R, Python, and shell on HPC / Slurm clusters and cloud environments (e.g., DNAnexus, Terra, AWS/GCP). Write first-author
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cardiometabolic disease Track record of peer-reviewed publications relative to career stage Experience with multi-omic data integration Familiarity with HPC or cloud computing environments Monday through Firday
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for fault-tolerant architectures. There will also be opportunities to validate theoretical results on cloud quantum processors and emerging neutral-atom platforms. The successful candidates will join a