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desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong communication and collaboration skills; ability to work independently and as part of a team. Willingness to respect
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expected to have experience in one or multiple of these skills: Atmospheric modelling, Analysis of atmospheric satellite measurements, Programming in Fortran, and Matlab or Python on Linux systems. To Apply
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in programming with languages commonly used in AI development (e.g., Python, R, Java, C++, JSON). Experience in designing, developing, and evaluating AI/Machine Learning models. Excellent analytical
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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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. 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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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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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | 3 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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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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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