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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
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Posting Details Position Information Job Title Postdoc and Graduate Students (Master’s and/or Ph.D. levels) Positions at the Intersection of AI and Neuroscience About the University It’s your time
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practices. Qualifications: A PhD in the Social Sciences or the Humanities. Strong research and writing skills, demonstrated in the publication of multiple peer reviewed journal articles. Deep familiarity with
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core values of Integrity, Excellence, Respect, and Creativity. Within our collaborative environment, we are looking for a leader with deep expertise in designing advanced analytical methods
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and international users with access to SKA data, tools, and services. We are seeking radio astronomers with deep domain experience to help guide this effort by leading Canada’s scientific engagement
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Bioinformatics (PhD) Exploration of large chemical spaces with deep reinforcement and active learning Ritwik Bhattacharjee Doctor of Philosophy in Interdisciplinary Studies (PhD) A critical psychosocial analysis
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centrifugal, digital, capillary, pressure, or microvalve-based microfluidics. Experience in deep-learning and artificial intelligence in the field of microfluidics to support applications such as high
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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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) 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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, 2016, 2017 and 2018. To learn more about our work environment, colleagues, leaders, students and innovative educational environment, visit www.torontomu.ca , check out @TorontoMet (external link) and