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the mechanistic viewpoint of biological neuromodulation. The student will have the freedom to develop their own modelling approaches, drawing on ideas from control theory, machine learning and computational
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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 commitment to employment equity helps
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Duration: 1-year appointment with possibility of renewal for a 2nd year. About the Department Our research group works at the intersection of machine learning, medical imaging, biomedical engineering, and
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often improved through trial and error rather than through a detailed understanding of the underlying science. The project will combine advanced measurements, computer modelling and experiments
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pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a
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support for the lab Job Requirements: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in world model, computer vision and deep learning
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STEM learning opportunity focused on Bioscience. To ensure that our fundamental science and engineering core is vibrant and continually pushing the forefront of knowledge, Sandia has chosen to invest in
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provide a hands-on STEM learning opportunity focused on Computing and Information Science. To ensure that our fundamental science and engineering core is vibrant and continually pushing the forefront
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STEM learning opportunity focused on Earth Science. To ensure that our fundamental science and engineering core is vibrant and continually pushing the forefront of knowledge, Sandia has chosen to invest
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provide a hands-on STEM learning opportunity focused on Engineering Science. To ensure that our fundamental science and engineering core is vibrant and continually pushing the forefront of knowledge, Sandia