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requirements to be integrated into the UAV under development.; ; - Development of Deep Learning algorithms for processing information from visible spectrum cameras, thermographic cameras, and LiDAR systems
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mobile applications in the health field (e-health & m-health). Development and integration of algorithms from the research group. Testing and validating technologies in real scenarios, collecting user
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commonly used in Robotics Expertise in the use and development of Robotics/or sensors for marine applications Strong background in algorithm development for perception, navigation and positioning
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: • Experience in developing image processing algorithms for weeding or pollination; and; • Experience in developing micro drones with potential for weeding/pollination. Funding Entity: on the scope AGROBOOST
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technological dissemination initiatives, particularly in the field of Physical or Electrical Engineering . Development of algorithms, support for the installation of the DAS, and real-time event monitoring. WORK
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initiatives, particularly in the field of Energy Systems - Energy Transition. The objectives are:; - Development and application of artificial intelligence algorithms for different use cases in the energy
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to distributed intelligent components, which requires both novel middleware and runtimes, as well as new and improved development approaches. Processor architectures moved from single-core to multi and many-core
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to distributed intelligent components, which requires both novel middleware and runtimes, as well as new and improved development approaches. Processor architectures moved from single-core to multi and many-core