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Localization and Mapping) algorithms, integrating data from sources like GPS, IMU, and LiDAR to achieve robust vehicle localization. Implement, test, and tune navigation controllers (primarily the visual
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to balance robust security controls with operational efficiency, leading security initiatives that protect sensitive employee and financial data across the Workday ecosystem. This position offers
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. Work Arrangement - This position has the option to be 100% remote. Candidates must reside in one of the approved states for remote work, which can be viewed here: https://remotework.duke.edu/policy
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Turn Assistants (RCTA) and ensures quality control/quality assessment through inspection, health and safety, and clean and sanitary conditions for all UHDS Residential Conferences guests. This position
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of the hallucination detection system under diverse visual and textual conditions Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under
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, irrigation maintenance and/or pest control classes as directed to stay abreast and knowledgeable in landscape techniques. Assist in cleanup and repair during inclement weather events which may require working
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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controlling their noise is critical. This PhD focuses on airborne noise source localization in urban environments, enabling quiet air mobility. Job description The rapid growth of air mobility operations
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concept to curved, high-order discretisation, while preserving accuracy, mesh validity, and robustness. This will involve advances in CAD–CAE interfacing, curved element optimisation, multiscale geometric
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Computational Imaging Research Lab (CIR), Department of Biomedical Imaging and Image-guided Therapy | Austria | about 2 months ago
, startups and patient partners. Your Mission as PhD is to develop novel machine-learning methods to (1) detect small, clinically meaningful changes in joints, (2) enable robust longitudinal monitoring and