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of the art in emerging wireless networks; - identify and select the methodologies and approaches most suitable for the development of the work; - strengthen the research and development competencies
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frameworks for full-stack web development (Node.js, .NET Core, Angular) and data pipelines (Apache Kafka, AWS Glue), comparing performance, scalability and security (RBAC, OAuth 2.0). Study cases of digital
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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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the user's perspective; configuration of some DSI services on users' computers (e.g. “eduroam” network, printing services, VPN, among others, software installation). The scholarship holders will implement new
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the user's perspective; configuration of some DSI services on users' computers (e.g. “eduroam” network, printing services, VPN, among others, software installation). The scholarship holders will implement new
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: The net monthly allowance is 1309.64€, according to the table of values of the scholarships awarded directly by FCT, I.P. in Portugal. Payment will be made monthly by bank transfer. If the fellowship holder
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by Recovery and Resilience Plan (RRP) https://recuperarportugal.gov.pt/ and Next Generation EU European Funds, is available under the following conditions: OBJECTIVES | FUNCTIONS Deep neural network
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: Aligning climate action with long-term climate and development goals”, “SDSNASSOCIATION_SG_PR04109”, financed by UN Sustainable Development Solutions Network (SDSN Association, Inc.), under the following
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/2022 ”, funded by the Fundação para a Ciência e a Tecnologia, I.P. through national funds under the ERA-NET Cofund JPcofuND-2, under the following conditions: Scientific Area: Non-invasive Neuronal
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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