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28 Aug 2025 Job Information Organisation/Company University of Aveiro Department DETI Research Field Other Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 12 Sep 2025 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job...
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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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Project CARMA – Refª 101168355 - BI|2025/749 Is the Job related to staff position within a Research Infrastructure? No Offer Description Public notice for research grant Refª BI|2025/749 Project CARMA
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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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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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semesters of work in the area of Computer Engineering, Engineering Physics, Electrical and Computer Engineering, Physics, or related areas. The goals of the grant are: The main objective of the research grant
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, interdisciplinary, and translational new research aligned with the three research challenges of NIMSB: Early disease detection. Objectives: Investigate the molecular and cellular changes that cause a cell’s state to
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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Applying anomaly detection algorithms for streaming network data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND
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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: CAD systems for the automatic detection of pulmonary nodules on CT are one of the most studied applications