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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
, financed by EU and national funds through FCT/MCTES (PIDDAC Workplan: Machine learning algorithms, in particular deep learning ones, suffer from the phenomena of catastrophic forgetting, which hampers
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NeuroVision – Neuromorphic Vision Sensor Data Coding. The project focuses on the development of efficient, low-latency, and scalable coding solutions for event-based (neuromorphic) vision sensors, targeting
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requirements: Master’s degree in Physics. The candidate must have previous experience with remote sensing data, burned area mapping algorithms and handling large databases. He must also have solid mathematical
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intelligence and sensors to promote autonomy, quality of life and cost reduction, facing challenges such as safety and technological risks. The main objectives and tasks to be developed during the period of
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frameworks applicable to monitoring and decision support systems. Study of integration solutions and communication mechanisms with sensors. 2. System specification and documentation: Identification and
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of the state of the art regarding technologies, architectures, and frameworks applicable to monitoring and decision support systems. Study of integration solutions and communication mechanisms with sensors. 2
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 22 days ago
: - Knowledge acquired along the path/academic training in: i) Animal behavior, specifically in tasks related to fear and aversion; ii) Calcium imaging with sensors through fiber photometry and/or miniaturized
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, if applicable. Enrolment in Master’s degree in Electronic Engineering or Biomedical Engineering. Work plan: 1) Build pneumatic actuators (T1); 2) Build tactile sensors to collect group tactile interactions with
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, in collaboration with the team responsible for the development of the ApneaScreener algorithm. Knowledge of data analysis tools, particularly Python and R, will be valued to support the interpretation
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of Electrical Engineering or related areas. - In addition, the candidate should demonstrate solid knowledge in electric power systems and in the development of optimization algorithms and intelligent systems