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software solutions for precise energy measurement and data communication. In this context, the purpose of this Research Initiation Grant (BII) is:; • Understand the operation and architecture
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: - prepare the requirements specification for a software module that allows the use of pre-trained large language models (Large Language Model); - containerization and availability of trained models
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Education Institutions. Preference factors: - Knowledge of fundamental concepts related to energy management and gas networks; - Knowledge of optimization and forecasting models; - Knowledge of Python
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visualisation (libraries such as Three.js, OpenGL, VTK, or similar); - Advanced knowledge of optimisation algorithms; - Previous experience with software development for logistics problems; - In-depth experience
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operating scenarios for power networks with a high penetration of renewable energy—one of the services to be offered by the collaborative laboratory currently under development.; This research grant offers a
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, and widely applicable observability solutions. At the same time, the results obtained will contribute to defining a best-practices guide for the use of eBPF in HPC environments, taking into account
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advantage of its high performance and low latency. Furthermore, these goals are essential for enhancing the use of storage resources in HPC systems and for defining new best-practice guidelines for users.; 3
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. The project seeks to transform existing submarine communication infrastructure into a large-scale sensor network for the detection and monitoring of geophysical phenomena. 4. REQUIRED PROFILE: Admission
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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Development of novel Machine Learning techniques applied in systems/networks research, which includes, but is not
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-of-the-art deep neural networks for musical audio, with special focus on timbre analysis and manipulation.; - Identify and implement approaches for explainable ML models.; - Cooperate in writing scientific