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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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, if is a master enrolled in a non-academic degree course, or of 4 (four) years if enrolled in a Doctorate; Knowledge in: Digital and energy transition Information models and optimization algorithms
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
to be carried out focus on the daily operational activities of home hospitalization units, with the goal of developing optimization models and algorithms to support the planning of routes, schedules, and
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Machine Learning. Work plan: Review of the state of the art on Evolutionary Algorithms and image tampering detection; Implementation of an evolutionary algorithm for image tampering detection
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-oriented interfaces is desired.; In parallel, we intend to explore new optimizations, such as data deduplication, support for multi tenancy, and new scheduling algorithms. These optimizations should be
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to explore new optimizations, such as data deduplication, support for multi tenancy, and new scheduling algorithms. These optimizations should be implemented and integrated into the platform.; Implementation
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, design, implement, and validate an optimization system for scheduling group classes within the Koachy platform. The specific goals include: Develop attendance prediction models for different types
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INESC COIMBRA - INSTITUTO DE ENGENHARIA DE SISTEMAS E COMPUTADORES DE COIMBRA | Portugal | about 2 months ago
can be obtained at: https://www.dges.gov.pt/pt/pagina/reconhecimento?plid=374 . Work plan and objectives to be achieved: flexREC aims to develop multiobjective algorithms to manage the charging
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of the state of the art in Evolutionary Algorithms and Large Language Models. Survey of the state of the art in Evolutionary Algorithms applied to Large Language Models. Implementation of an evolutionary
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to be achieved: Development of algorithms for analyzing facial expressions in static and video images. Analysis and evaluation of identity bias in facial expression recognition. V - Initial grant duration