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approaches (based on functional programming abstractions) to optimize the implementation of machine learning models and other digital signal processing algorithms on a specific FPGA architecture to fit within
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this will include: Demonstrated expertise in data analysis and simulation Familiarity with C++; and proficiency in the use of ROOT and Geant4, and interest in machine learning techniques Knowledge
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. INTERACT is co-led by Daniel Fuller (University of Saskatchewan), Yan Kestens (Université de Montréal), and Meghan Winters (Simon Fraser University). To learn more about our research program, visit
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equitable research environment that values diversity in all its forms. To learn more about ongoing research and recent publications, please visit: https://kaushiklab.com . Why MUN? The Faculty of Medicine
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 1 month ago
fluorescence data. Developing machine learning methods to optimize data collection. In addition, the project is committed to developing open source tools that benefit the imaging community. The applicant will
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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
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with collaborators through regular field and/or video-conference meetings.QUALIFICATIONS•Minimum qualifications are a PhD degree that is focused on forest ecology, wildfire ecology, silviculture
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: - To lead the computational part of a collaborative project on AI-assisted design of OPVs - To become knowledgeable in the field of OPVs and the relevant simulations - To learn relevant machine learning
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://www.schenlabuottawa.com/ Key Responsibilities: Lead a project that identifies the roles of specialized gene expression programs in distinct excitatory and inhibitory neuron subtypes during motor learning. Utilize in vivo
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The Sakata lab at McGill University is looking for motivated graduate (PhD) students and postdoctoral fellows to investigate the contribution of perineuronal nets (PNNs) and parvalbumin (PV) neurons