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talented Machine Learning Engineer with expertise in healthcare data analysis, medical terminology, and cutting-edge machine learning techniques. The ideal candidate will play a crucial role in designing
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-based prediction. This includes instrumenting a high-power APS torch with video and acoustic sensors, developing machine learning algorithms for feature extraction, and building predictive models
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network connectivity. Implement machine learning models to detect patterns in large datasets and assist in predictive modeling. Develop and maintain custom scripts in Python or MATLAB to automate data
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. Qualifications: PhD in machine learning, with experience in applications in computer vision or medical image analysis. Strong publication record in top venues (e.g., CVPR, MIDL, MICCAI, IPMI, PAMI, TMI, MIA
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or instructors 24 hours in advance if unable to attend scheduled workshops. ML & NLP: Preferably those with project experience in these areas. Priority given to coursework such as COMP 551 (Applied Machine
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help them estimate technical support man-hours and cloud computing costs for their corporate-sponsored analytics projects. The role involves helping students plan their cloud deployment, machine learning
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Research Assistant 2 position is based in Prof. Tal Arbel's research lab in the department of Electrical and Computer Engineering. This position provides research, technical, and administrative support for
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: Literature review, data collection, input variable selection, preliminary model building for machine learning based streamflow forecasting. Qualifications: BEng; Very strong ability in coding and ML/DL
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demonstrated expertise in the development of modern statistical theory and methods, or closely related aspects of data science, machine learning or artificial intelligence more broadly. Additional experience
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COMP 551 Applied Machine Learning F 2025 LOCATION Downtown Campus Schedule