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of fairness, safety, and privacy in digital technologies. Key Responsibilities: Conduct research and development in trust technologies – translating algorithms into tools and frameworks and implementing working
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healthcare application needs to analyze sensitive patient data across distributed nodes. Researchers and students can explore privacy-preserving algorithms and technologies like federated learning and zero
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and its implementation in distributed systems. Main responsibilities: Research, develop, and optimise machine learning algorithms, including deep learning, for AV control and coordination. Apply multi
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include but are not limited to: programming, algorithms, software development, communications and protocols, distributed systems, databases, mobile applications, operating systems, cloud computing, web
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theoretical physics, whose responsibilities relate to distributed systems and the GPU optimization of AI algorithms. We expect the team to grow in size considerably over the next few years, and are looking
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Faculty.Professor.Assistant - Full-Time SCI-Office of the Dean - Pennsylvania-Pittsburgh - (24008558) Tenure-Stream Assistant Professor for Quantum Algorithms As the University of Pittsburgh’s
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the effectiveness of different courses of action using predictive algorithms. They assess the effectiveness and accuracy of new data sources and data gathering techniques. Data Scientist is an expert in
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. The monitoring of telecommunications and energy production and distribution networks are characteristic examples of such time-critical applications. The project aims to propose unsupervised online CPD algorithms
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Data Research Network Canada (HDRN Canada), a research-enabling, distributed network that supports multi-regional, person-focused research. The work of HDRN Canada is supported by a seven-year, $39M
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edge AI for localized knowledge preservation; AI governance and data sovereignty in digital heritage institutions and collections; study and design of recommendation systems and ranking algorithms used