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, imaging, or other high-dimensional biological datasets. · Proficiency in R and/or Python for computational biology and bioinformatics analyses. · Excellent analytical, organizational, written, and verbal
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. • Proficiency in software development in R/Python. • Experience with high-dimensional mixed data types or integrative methodologies is desirable. Application Instructions Please submit the following materials
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, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter
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using languages such as Python, R, and Bash. · Experience developing, implementing, and optimizing computational pipelines and bioinformatics tools for large-scale genomic datasets. · Strong
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dashboard development, or clinical data tool design. Excellent programing skills (e.g., Python, R), with hands-on experience in Bash scripting, workflow management (Snakemake), LLMs, text mining, or knowledge
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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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chemistry preferred) researchers. Track Record: A strong publication record in NLP, ML, Multimodality, Information Retrieval, or Chemistry. Technical Skills: Proficiency in Python and PyTorch/JAX is required
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optical setups independently. • Strong programming skills for data acquisition, control, and analysis (LabVIEW, Python, MATLAB). • Excellent oral and written communication skills; ability to present results
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experiments. ● Experience with readout electronics and data acquisition systems. ● Advanced coding skills in C++ and Python. Application instructions: All individuals interested in this position must submit a
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. Advanced proficiency in R and/or Python; experience with reproducible workflows (Git/GitHub, R Markdown/Quarto). Extensive experience working with large-scale longitudinal or multi-cohort datasets