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apply. A strong formal course background in deep learning and machine learning in general, or relevant topics such as: neural networks self-supervised learning convolutional neural networks transformer
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genomics to define the influence of inherited genetics on tumor evolution Development and application of new computational methods to jointly analyze germline genetics with multi-modal datasets derived from
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that will define the CNRE. CNRE research is both computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials
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integration, contributing to CSIE’s mission of advancing autonomous multi-agent systems for national defence applications. Key Responsibilities: Design and develop hardware and software platforms for UAV swarm
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flexible coverage. * Vision: Affordable plan with national network. * Pre-Tax Savings: HSA and FSAs for eligible expenses. * Retirement: Competitive retirement package to secure your future. A Postdoctoral
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poisoning in emergency departments using data derived from the Canadian Emergency Department Research Network. The incumbent may also have the opportunity to participate in real-world drug safety and
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monitoring frameworks, and on measuring the energy impact incurred over different computational resources. Minimum requirements: - Experience with software-defined control systems (e.g., Cheferd, PAIO, PADLL
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achieved by integrating translation mechanisms directly into programmable hardware, including programmable ASICs, to ensure seamless interoperability across diverse network architectures. The goal
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topics such as: neural networks self-supervised learning convolutional neural networks transformer-based networks graph-based approaches Bayesian learning information theory Documented strong programming
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UCD Center for Labor and Community - Engaged Research Fellowship Project Coordinator (PROJECT POLICY
analysis using statistical software, database management, use of data sets; Assist in preparation of human subjects/IRB applications when needed; Production of high-quality data visualizations, charts