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health research, or related fields. Substantial Experience in R, python or other relevant computational languages. Experience with single-cell RNA sequencing and/or ATAC-seq. Demonstrated experience
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, Siemens MR IDEA Image Calculation Environment (ICE), Python and MATLAB, and deep learning techniques are considered assets A strong publication record demonstrating research excellence. A minimum of one
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. • Strong proficiency in Python, FastAPI, and PostgreSQL. • Hands-on experience with LLMs, vector databases (e.g., Pinecone), and NLP tools. • Familiarity with clinical trial data structures, academic
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variation with individual differences in human brain structure and function. · Analyze multimodal neuroimaging data, including structural, diffusion and/or functional MRI, in conjunction with genomic and
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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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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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, harmonizes, and preprocesses multi-cohort longitudinal datasets to ensure comparability across different study designs and measurement structures, ensuring reproducibility and adherence to FAIR data principles