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3 Sep 2025 Job Information Organisation/Company Instituto Politécnico de Viseu Research Field Environmental science Researcher Profile First Stage Researcher (R1) Positions Undergraduate Positions Country Portugal Application Deadline 17 Sep 2025 - 00:00 (Europe/Lisbon) Type of...
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-GRASP”, “Simulation-Based Bayesian Inference for Object Perception in Robot Grasping”, financed by the European Union´s Horizon Europe research & innovation programme under the euROBIN project (Grant
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plan consists of the following development phases: 1) Literature review Survey of the state of the art in pose detection, facial recognition, object detection, and activity detection models focused
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requirement to hold a Master’s degree; Preferential factors: research experience in the field of production and characterisation of polymer composite materials. Workplan and objectives to be achieved
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the notice by the application deadline; For degrees obtained abroad, the record of recognition of the academic degrees and record of the conversion of the r spective final classification to the Portuguese
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providing a robust foundation for AI-based anomaly detection in microservice security. This involves the following specific objectives: • Conduct a literature review to identify most relevant cyberattacks
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of LIS ́s researchers, in the framework of Project WATERSCAN - Intelligent Optoelectronic System for Monitoring Water Distribution Networks and Detecting Leaks (CENTRO2030-FEDER-01468500), co-financed by
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, data collection, scientific writing; e) Proficiency in Portuguese and English (spoken and written). Workplan and objectives to be achieved: a) Work plan 1. Research and literature review; 2
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objectives to be achieved: 1- Support the design, implementation, monitoring and evaluation of mentoring/tutoring activities focused on the development of global skills and the professional and career
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the FCiências.ID – Associação para a Investigação e Desenvolvimento de Ciências, for the project “Implementation of an automatic system for detecting and counting trees in high-resolution images using artificial