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knowledge in data assimilation and Kalman filters Working experience with atmospheric or climate data Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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techniques to estimate time differences of arrival; Development and evaluation of TDOA-based acoustic source localization algorithms; Study and implementation of target tracking techniques based on Kalman
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Research Alliance Singapore (CAWRAS). The candidate needs to have a good working knowledge in data assimilation methods such as 3D/$D-var, Ensemble methods and Kalman filters. Familiarity w JEDI-based data
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