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(quantitative and qualitative). They must also have experience working with large datasets and producing high-quality data visualizations and linking agronomic and genetic factors. Experience in Python/R would be
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data. Proficiency in ML frameworks (experience with LLavaMed, EchoPrime and DNABERT considered an asset) and programming languages such as Python or R. Experience working with medical imaging or genomic
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analysis of multi-source datasets (e.g., mechanical, process, and imaging data). Proficiency in data science techniques, large dataset handling, and Python-based programming; Experience in the publication
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. Experience in writing clear and concise code in Python/C++ to contribute to the team’s codebase. Prior experience in human factors research would be considered an asset. Language requirements English
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or process optimization; and Experience in data collection, analysis, and processing. Assets: Experience using Python or another scientific programming language (e.g., MATLAB, R, Julia); Experience with
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strong asset. Experience independently writing and publishing scientific manuscripts. Strong experience in programming (particularly in python/R). Experience with analysis of genomics data (particularly in
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. Significant programming experience. Preferred: Python or Matlab; IDL, C/C++ or other languages also acceptable. Language requirements English Information on language requirements and self-assessment tests
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PDF, Dev of new porous transport layer architectures for Proton Exchange Membrane Water Electrolysis
in PEM water electrolyzer or PEM fuel cells and a minimal of three first-authored peer reviewed publications Asset: Knowledge of Python coding Language requirements English Information on language
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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | about 2 months ago
machine learning-related discipline. Strong publication track record in top ML, computational chemistry, or computational biology conferences and journals. Proficiency in Python, demonstrated through
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, Biostatistics, or related fields Extensive experience with spatiotemporal models Exceptional programming proficiency in languages such as R or Python. Previous experience analyzing ecological or similar data