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the resource constraints of the future electronics readout system. Collaborate closely with researchers at McGill (in both the Departments of Physics and in Computer and Electrical Engineering) and partners
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publication record, in statistics, machine learning, electrical engineering, computer science, data science and/or artificial intelligence. Applicants must have a Ph.D. in statistics, computer
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, including Computer Science, Electrical and Computer Engineering and Music and will be expected to participate in the preparation of research proposals and scientific publications. The candidate will also be
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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technical writing skills is essential (preprints are welcome). Candidates must have (or expect to soon receive) a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering
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mentoring students and supporting hands-on projects within the Engineering Physics Propulsion Laboratory (EPPL). Key Responsibilities: Conduct original research in control theory with an emphasis
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Job Description Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Science, Electrical and Computer Engineering, Applied Mathematics or a
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modeling in smart mobility systems Required Qualifications: The requirements for the applicants include: Ph.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics
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Engineering, Computer Science, Applied Mathematics, or related fields Strong background in control systems, machine learning, and scientific computing Programming proficiency and experience with simulation
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is