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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
nonlinear optimal control algorithms. Experimentally validating the proposed methods on a waste-sorting robotic platform. Contributing to mechanical and mechatronic design choices whenever they influence
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the development of novel volumetric representations and computational imaging methods for paired visible-light and X-ray images, as well as extending computer vision techniques from the visible-light RGB
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: Collection, analysis and interpretation of experimental data, using statistical software and other methods to guarantee the accuracy of the results. Dissemination and publication: Assistance to congresses
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models of steel structures with emphasis on fatigue hot-spot modelling, building on existing in-house methods Load and stress estimation using virtual sensing techniques (e.g., Kalman Filters) combined
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other dynamic network variables. You will: Develop new data assimilation methods for estimating traffic states and network conditions Combine machine learning with traffic flow theory to improve
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for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods
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learning, computer vision, or a related field; knowledge of affective computing, generative AI models, and deep-learning methods; proficiency in Python and experience with machine-learning libraries
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Application Submission Method: link Employment Conditions: The involvement in the project will be based on a scholarship agreement for a period of 12 months. Estimated working hours: 40 hours per month. Planned
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care and clinical nutrition? Are you motivated to advance diagnostic approaches for accurately estimating individual metabolic demands in critically ill patients using innovative analytical methods? We
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and Technology and monitored by UK Research and Innovation (UKRI) . The programme’s mission is to develop innovative methods for designing and integrating microchips manufactured using different