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intern in multiagent trajectory optimization. The successful candidate will help develop and implement mixed-integer and nonlinear programming methods for coordinating multiagent UAV systems. This role
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candidate to fill one Research Professional 5 - Educational Research position. The position will primarily focus on building large datasets and developing algorithms to detect cognitive/affective states
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nuclei related to deep brain stimulation surgery. Responsibilities: • 25% - Work with members of the Harel lab to develop code for deep learning algorithms • 25% - Write Python code for data augmentation
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/Temporary Regular Job Code 0001 Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Research Prof. Michael Coughlin seeks a temporary worker focused on the development
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will have the following responsibilities: 70% - Develop or integrate novel statistical methods and algorithms for analyzing large-scale data. 10% - Identify and integrate new, cutting-edge molecular
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calibration schemes. The successful applicant is expected to take a leading role in the development of the event reconstruction algorithms for the new generation detectors, take part in detector performance and
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- Collaboration in research and development in chip design, verification methods, secure hardware design, electronic design automation, and computer architecture design. Particular application areas of interest
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supervised and unsupervised community detection algorithms and work on developing age specific templates for supervised algorithms. Develop analysis strategies for task based responses in infant functional