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- International Iberian Nanotechnology Laboratory (INL)
- Instituto Superior de Engenharia do Porto
- INESC TEC
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- University of Aveiro
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- FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento
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- iBET - Instituto de Biologia Experimental e Tecnológica
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Field
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sensors (e.g., electrochemical, metal-oxide, optical) with different gas mixtures; Establish calibration strategies to the different sensors; Develop a method to collect gas mixtures from the gas sensor
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system ROS/ROS2, PX4, LiDAR, Stereo and Monocular vision, Perception, AI, ML, Path Planning Control, Sensor Fusion Algorithms;; - Previous experience in Deep Learning with LiDAR and vision systems
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Engineering, specialization in Autonomous Systems. Requirement 3: have proven academic experience in implementing hardware and algorithms in Python and ROS, and in developing ground robots controlled by
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. We are seeking a highly motivated Laboratory Technician to join our team under the ATE Agenda funded by the PRR framework. We expect the candidate to contribute to electrochemical sensor data
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sensor systems for monitoring is also planned. The work plan therefore includes: 1) Development of the innovative LSF profile and numerical simulation for parameterisation of the solution; 2) Development
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visualization, and data analysis algorithms and methods; Sense of responsibility and ability to communicate and integrate into multidisciplinary work teams. 3. Financial component - According to the Table
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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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FARM-ID - Associação da Faculdade de Farmácia para a Investigação e Desenvolvimento | Portugal | about 22 hours ago
Intelligence; Chemistry; Medicinal Chemistry. Candidate Profile: Master’s degree in Mathematics, Physics, Data Science, Chemistry, or related fields¹; Experience in implementing deep learning algorithms
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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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that integrates BIM models and sensor data, dynamically updated with the actual progress of the project. - Support for the development of a digital aggregation platform that incorporates information from