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of the HDRN Algorithms and Harmonization Inventory and similar tools. Participate in HRDP-SK Data Quality & Standardization committee thereby advancing continuous improvement in data quality, validity
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algorithm development, countermeasure testing, and integration of C-UAS detect-and-identify systems. It supports research on RF sensing, direction-finding, and signal classification for UAS geolocation and
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fundamental physics and quantum computation, with an emphasis on building quantitative, benchmarked pipelines that connect field-theoretic questions to modern quantum algorithms and hardware. The position will
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responsible AI practices, including awareness of bias, fairness, and transparency in data and algorithms Work collaboratively within interdisciplinary teams, translating research and policy needs into technical
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of Contracts Negotiations ▪ Knowledge of Technology Products Analysis (algorithms, analog/digital devices ▪ Knowledge of Venture Market Analysis /Venture Business Strategy ▪ Knowledge of Research Project
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
relating to artificial intelligence (AI), such as algorithmic bias, explainability and accountability in AI decision-making, trust in AI systems, relationships between humans and AI, the effects of AI
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degree in Statistics/Biostatistics or Mathematics or related discipline. Applicants must have a solid understanding of programming with R, machine learning algorithms, and data structures. Applicants must
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. -Participates in the evaluation, selection, planning and integration of technology and software solutions to further research goals. -Keeps up to date with new application, technology, and algorithmic
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properly, data needs to be centralized, sometimes from multiple jurisdictions, to achieve sample sizes appropriate for training algorithms. This creates challenges with data security and data flows (due
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computational capacity, operating time, and the form of desired results Research, evaluate and adopt new technologies, algorithms, and platforms as required Produce thorough but concise written documentation