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approaches that rely on simplified transmission models, FBMC ensures a more efficient, reliable, and grid-aware allocation of electricity flows. By using detailed network modeling, FBMC facilitates a more
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15th May 2025 Languages English English English PhD Research Fellow in Wireless Acoustic Underwater Communication and Sensor Networks Apply for this job See advertisement This is Western Norway
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Elhoseiny, Code: https://github.com/yli1/CLCL Uncertainty-guided Continual Learning with Bayesian Neural Networks (ICLR’20), Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach, Code: https
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-edge projects aimed at improving sustainable transportation networks using advanced computational techniques, data analysis, and artificial intelligence. We seek candidates specializing in the following
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projects include but are not limited to designing, building, testing, and scaling: (1) molecular data storage, and (2) chemical reaction networks. The ability to bring static and dynamic DNA nanotechnology
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 25 days ago
+RL) would be beneficial. Based on ocean sensor networks’ inputs, the developed DSSs will support the monitoring, prediction, environmental impacts and technical engineering management of ocean industry
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 25 days ago
, and systems engineering. The advancement and application of techniques such as Systems-Theoretic Process Analysis (STPA), structured expert elicitation, and Bayesian Networks (BNs) are foreseen, and
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and explaining code written by others; working with third parties who are not computer scientists. Requirements Bachelor’s Degree or higher (preferably in Computer Science or a related field). Expertise
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growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, and treatment facilities in
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candidate, you will: Develop and apply Bayesian Network machine learning methods to analyze the dynamics of G-protein coupled receptors to uncover allosteric regulation that enables design of allosteric