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scripts to process and analyze behavioural and neuroimaging data in languages such as Python, Matlab, or Bash and/or using standard neuroimaging analysis software; Conducts statistical analyses using tools
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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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, or behavioral data) and be proficient in Python and modern deep-learning frameworks (ideally PyTorch). Experience in computer vision, multimodal data fusion, self-supervised or generative modeling is highly
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and conferences. Proven experience in design and implementation of deep learning algorithms. Outstanding programming skills in Python. Extensive experience working on one or more of the following areas
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imaging modalities · Strong proficiency in Python for scientific computing, including experience with machine learning and image processing libraries such as PyTorch, TensorFlow, NumPy, SciPy, or OpenCV
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an undergraduate program in computer science, engineering, neuroscience, cognitive science, or related fields. Basic familiarity with Python or similar languages; ability to read code and understand debugging
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study. Demonstrated experience in NGS data analysis, programming (Python, R, Bash), molecular biology, microscopy, flow cytometry, statistical analysis, and biochemistry. Proper data management and
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difference in a collaborative and multidisciplinary environment will be preferred. Applicants should have experience of programming in Matlab and/or Python. Experience with grant writing and fellowship
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research. Must have working knowledge of Python and JavaScript, other coding languages a bonus. Some project management experience is preferred. Before applying, please note that to work at McGill University
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LLMs (e.g. Python); Strong written and oral communication skills. Having a good command of NLP methods will be an asset. Master’s degree in Mathematics, Statistics or Computer Science, or equivalent