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frameworks such as COLMAP and Open3D; Ability to develop algorithms for object detection and tracking, 3D reconstruction, and SLAM. Advanced Control and Intelligent RoboticsSolid knowledge of classical and
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important parameters in real time, enabling predictive rather than reactive control and preventing component failure. 4. Develop intelligent algorithms that allow cooling systems to be controlled based
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. Fellowship duration This fellowship will be offered on a 6-month contract, predictably starting in January 2026, and carried out on an exclusive basis. The fellowship cannot be granted, according to Article 6
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) of the University of Beira Interior (https://cmadeubi.wordpress.com ), under the following conditions: Research field: Civil Engineering, Materials Engineering, or related fields Objectives: The research fellowship
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the strengths and weaknesses of different solutions; 2. Integrate sensors to monitor important parameters in real time, enabling predictive rather than reactive control and preventing component failure; 3
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numerical model (RCM), at a regional scale, making use of simple, robust, and computationally efficient parameterizations to predict the evolution of a barrier island in response to sea-level rise
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Biodiversity, Genetics and Evolution Work plan: The fellowship holder will focus on developing and applying innovative ecological modelling approaches to improve predictions of species distributions under global