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Sessional Lecturer, INF2205H - Designing Sustainable & Resilient Machine Learning Systems with MLOps
candidates will have a completed, or nearly completed, PhD degree in an area related to the course or a Master’s degree plus extensive professional experience in an area related to the course. Teaching
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. The candidate should be independent and have the ability to develop and pursue new, creative research ideas. The position is funded through the NSERC Discovery Grants program. Qualifications PhD and related
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Applications are invited for a two-year postdoctoral fellowship supported by the collaborative research and training program Pacific Rim Ocean Data Mobilization and Technology (PRODIGY) and the
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. Qualifications and Education Requirements Candidates must: Have a PhD in Computational genomics, Computer Science, Applied Mathematics or a related field; Demonstrate excellent research productivity and the
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related to equity, diversity, and inclusion Preferred Qualifications Preferred post-graduate university degree in a relevant discipline (PhD in Computer Science, Engineering, Artificial Intelligence
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Date Posted: 05/12/2025 Closing Date: 07/07/2025, 11:59PM ET Req ID: 42767 Job Category: Faculty - Tenure Stream (continuing) Faculty/Division: Faculty of Applied Science & Engineering Department
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: Quantum simulation with Rydberg atom arrays (theory) Research Area: Atomic, molecular, and optical physics (AMO), quantum control, quantum simulation Relevant Fields: Quantum information science, quantum
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: Quantum Simulation with Rydberg Atom Arrays (Experiment) Research Area: Atomic, molecular, and optical physics (AMO), quantum control, quantum simulation Relevant Fields: Quantum information science
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imaging, and computational and digital psychiatry. It remains a global leader in integrating cutting-edge science with clinical practice to train future psychiatric researchers and clinicians. We are proud
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for the Centre (e.g. conducting analysis on emerging issues, participating in the policy development process). This opportunity is ideally suited to a doctoral student at an advanced stage of their PhD program who