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Sessional Instructional Assistant - MAT302H5F - Intro to Algebraic Cryptography (emergency posting)1
University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 27 days agocryptography, from Euclid to Zero Knowledge Proofs. Topics include: block ciphers and the Advanced Encryption Standard (AES); algebraic and number-theoretic techniques and algorithms in cryptography, including
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in collaborative, interdisciplinary teams. Linux development skills with Python and JavaScript. Understanding of data structures and algorithms. Familiarity with web APIs such as GraphQL, REST, and
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developing and testing with sensor fusion engines - Experience with navigation algorithm development - Effective written and verbal communication skills - Due to the requirements of our research contracts with
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laboratories and testbeds for optical communications in Europe and maintains a complete library of optical communications digital signal processing algorithms. We are recruiting students in the field of digital
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machine learning and computer vision algorithms • Build tools for photogrammetric 3D reconstruction and defect detection • Evaluate and refine AI models using annotated data and real-world image datasets
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documentation of work and openness to feedback Previous experience working with remote sensing imagery, deep learning algorithms, or machine learning training data is desirable but not essential Ability to carry
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activity, trends, key platform/algorithm changes, influencers, and identify emerging trends. * Works cross-functionally and ensures collaboration across teams in the Strategic Marketing and Communications
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, statistics, formal methods, numerical methods, computational modeling, computational complexity, or algorithm analysis. We are especially interested in candidates experienced in teaching with computational
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with implementing these algorithms on fully error-corrected fault-tolerant quantum computers. About You The incumbent is expected to have relevant experience in developing quantum architectures, error
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, implements, and maintains data collection systems and strategies. 3. Performs statistical analysis and apply data mining techniques. 4. Develops algorithms and design experiments to merge, manage, interrogate