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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | 3 days ago
the Signals Intelligence (SIGINT) and Cyber missions. You’ll learn and apply advanced cryptanalytic and cryptographic techniques to defeat encryption or to design and evaluate cryptographic algorithms and
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We are looking for a Research Associate to conduct the research for the project entitled “Manual Assembly Job Quality Inspection”. The role will focus on research and development of AI algorithms
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understand algorithms (basic, intermediate, advanced, probabilistic) within the master patient index (MPI) that identify potential duplicate records to apply best practice solutions for patient matching. Apply
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data, complicated algorithms are required. Some of these algorithms are yet to be developed and/or validated, with real data from polar regions required in order to do so. A dedicated airborne radar
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involving large administrative claims, EHR, survey, or clinical trial data. Collaborate with external collaborators in implementing machine learning algorithms. Perform other duties as assigned. Required
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Model Based Design and Flight Testing of a Vertical Take-Off Vertical Landing Rocket (C3.5-MAC-John)
tested will have applications for landing on other planets or moons, or even propulsive landing of rocket stages on Earth. These missions require the use of novel guidance algorithms, sensors, and control
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wide range of numerical and machine learning (ML) computer algorithms as applied to reservoir engineering and geophysical imaging. This includes the simulation of thermal-hydro-mechanical-chemical (THMC
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: • Experience in developing image processing algorithms for weeding or pollination; and; • Experience in developing micro drones with potential for weeding/pollination. Funding Entity: on the scope AGROBOOST
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of Mathematics at The London School of Economics and Political Science (LSE) seeks to appoint an Assistant Professor to join the Optimisation and Algorithms group. The post holder will contribute
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, implementation, and testing of a wide range of numerical and machine learning (ML) computer algorithms as applied to reservoir engineering and geophysical imaging. This includes the simulation of thermal-hydro