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EHS guidelines and animal models. Advanced in: analysis of gene variants, genetics Familiar with: computer science: use of current analysis software like image J etc.. Qualifications: Excellent written
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information that spans the full spectrum of neuroscience from cell and molecular biology to brain imaging and cognitive neuroscience. Over 40+ neurology and neurosurgery residents and 300 graduate students and
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, substance abuse research, psychoneuroendocrinology, psychoimmunology, genetics, epigenetics, advanced brain imaging, and computational and digital psychiatry. It remains a global leader in integrating cutting
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as a methodological paradigm. This course covers various phases of MMR, including its theoretical frameworks, research designs, strategic mixed methods sampling, data collection methods, data analysis
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of approximately $55 million per year. The Neuro’s multidisciplinary teams generate fundamental information that spans the full spectrum of neuroscience from cell and molecular biology to brain imaging and cognitive
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in the areas of out-of-autoclave (OOA) composite materials processing. Conducts engineering design for experiments to develop analytical and numerical models to characterize OOA composite material
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the assembly of experimental prototype . Analyzes experiment data, evaluates technology and design alternatives, and communicates results with industry partners, and translates outcomes into Knowledge in
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow, Computer Science Department Shadgan Laboratory | Department of Orthopaedics | Faculty of Medicine (Babak Shadgan
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 8 days ago
investigated. Topics include project estimating, costing and evaluation, organizing and managing project teams, quantitative methods for project planning and scheduling, introduction to computer-based project
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PyTorch, TensorFlow, and Scikit-learn. Familiarity with cloud computing and AI frameworks. Extensive experience working on one or more areas: image processing, machine learning, time series, digital health