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, maintainable code in Python, R, or similar languages. Develop reproducible analytical workflows using notebooks, scripts, version control, and good documentation practices. Build prototypes, dashboards, data
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: Expertise in R and Python for data analysis Expertise in bioinformatic analyses Advanced statistical modelling approaches, including multilevel and multivariate methods, dimensionality reduction, and latent
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to equity, diversity, and inclusion Preferred Qualifications Experience with NLP libraries and toolkits (e.g., Hugging Face, spaCy, NLTK). - Strong programming skills (Python preferred), with experience in ML
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. Qualifications: Adaptability and a quick learning ability to understand diverse subjects in ecology, biodiversity, and data science. Experience with biodiversity data analysis.Experience in R and python coding
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languages such as Python, MATLAB, or C/C++, with the ability to develop custom scripts and algorithms control systems and modeling. Excellent communication skills, both verbal and written, with the ability
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an engineering project; Experience with project scheduling, planning, or project management tools such as Microsoft Project, Jira, Azure DevOps, Primavera, or equivalent; Programming experience using Python
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, determine study design parameters, and select appropriate statistical methodologies. Evaluate and select statistical programs, R/Python packages, and machine-learning frameworks to ensure alignment with
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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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internationally recognized journals. Experience in statistical genetics, including genome-wide association studies and analysis of biobank-scale data. In-depth knowledge of R, Python, bash and git, and experience