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University of Toronto Faculty of Information Sessional Lecturer Summer Term 2026 – Session Y (May – August) INF2179H – Machine Learning with Applications in Python Course Description: Machine
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Course Code & Title: BCH2203 Introduction to Programming in Python COURSE DESCRIPTION: This course is to introduce graduate students to the programing language Python. The course will teach
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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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Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
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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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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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artificial intelligence in health research. Responsibilities Assist with data preprocessing and analysis of large neuroimaging datasets Support development and evaluation of machine learning models in Python
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sequencing, flow cytometry, imaging and computing infrastructure. More information on the Lange Laboratory can be found at https://langelab.med.ubc.ca/ . The Lab is part of the Canadian Pediatric Cancer
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. The fellow will be supported to apply for grants to extend work in this field. The position is a 1-year funded role, supported by the UBC AI & Health Network (https://aihealth.med.ubc.ca/). There is potential
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., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly desirable. Proficient in Python, R, and ML libraries such as PyTorch or TensorFlow. Strong