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the state of the art in the fields of smart buildings, digital twins, and the development of building energy optimisation algorithms; Use of methods and tools for energy systems modelling and optimization.; 3
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
the motivation letter, the specific Research Topic they are applying to.; ; The Work Programmes of each Research Topic are listed below:; ; Research Topic #1 – Data-rate Adaptation for Emerging Wireless Networks
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of SCADA data, Artificial Intelligence algorithms, and the Digital Twin of photovoltaic assets, allowing the identification of anomalies and patterns indicative of imminent failures.; ; The main objectives
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of programming and developing algorithms for interpreting georeferenced data.; - Demonstrated experience in using virtual choreographies for Digital Twins; Minimum requirements: - Master's degree average above 16
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: The Center for Biomedical Engineering Research (C-BER) develops algorithms for monitoring agricultural workers using wearable and mobile technologies. The goal is to develop new algorithms and/or improve and
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and caching algorithms.; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Responsibilities under the grant:; - Design of a key-value storage system that takes advantage of different remote and
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Requirements. The applicants must reference, in the motivation letter, the specific Research Topic they are applying to.; ; The Work Programmes of each Research Topic are listed below:; ; Research Topic #1
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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: ● Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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to support energy management in buildings, integrating optimisation and forecasting models and algorithms; - development of interactive visualisation dashboards, including front-end components and integration
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process and the results obtained. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - To contribute to the specification and development of algorithms for optimizing energy systems with