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of Commercial Contracts law • Knowledge of Contracts Negotiations • Knowledge of Technology Products Analysis (algorithms, analog/digital devices • Knowledge of Venture Market Analysis /Venture Business Strategy
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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. We seek applicants who bring an interdisciplinary and critical lens to intervene in global discussions of AI and whose research engages with the design, development, use, and/or evaluation
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 11 hours ago
metabolomics] research, with experience in the use of techniques in machine learning, statistics, algorithm engineering, bioinformatics, or advanced data visualization. Evidence of effective participation and
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interdisciplinary research on the determinants of human health, well-being and development. We support secure research access to individual-level, de-identified longitudinal data on 5.4 million residents living in
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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 | about 2 months 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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Association in Canada’s (UNA-Canada) International Development & Diplomacy Internship Programme (IDDIP) to university graduates from many disciplines including: international affairs (relations), peacekeeping
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for outcome assessments for a range of brain diseases. The individual will schedule, train, and supervise research assistants, students, and instructors. They must ensure: 1) patient confidentiality and safety
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objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms, statistical
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. The ultimate objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms