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3 Fully Funded PhD Students positions!📍 Remote Sensing Laboratory, McMaster University, Hamilton, Ontario, Canada🗓 Start Date: Spring or Fall 2026The Remote Sensing Laboratory at McMaster
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the subject line “Masters/PhD Opportunity in Liquefaction-Related Topics” and attach the following documents:(1)Statement of Intent (maximum 1 page): Describe how your past education and experiences have
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University of Montreal-CHU Sainte Justine Children's Hospital Research Center | Canada | 21 days ago
Project OverviewSpeech and language disorders affect millions of children worldwide, limiting communication and quality of life. This PhD project will explore the use of Reinforcement Learning (RL
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the supervision of Dr. Robert Froese. This PhD student will address the DIVERSE project theme focused on the assessment and mapping of functional diversity and redundancy at the national scale, using remote sensing
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construct novel CAR-T cell therapies, including vector design, gene editing, and the development of innovative receptor constructs. In Vitro and In Vivo Studies:Â Conduct a wide range of experiments to assess
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) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
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(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
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at the University. At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our
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control subjects based on diffusion MRI images and functional MRI responses. Duties include: Developing machine-learning and/or deep learning pipelines for classifying patients of optic neuropathies and