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Field
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of virtual models (digital twins) for studying and detecting abnormal operating conditions (predictive diagnostics of anomalous behaviors) in distribution transformers using the finite element method (FEM
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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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clothoid-specific algorithms that generate a speed profile that takes into account the characteristics and properties of the applications, applied to the movement of human arms/hands, human locomotion, and
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; T2: State-of-the-art review and model testing; T3: Development of algorithms for information extraction; T4: Algorithm testing and validation; T5: Preparation of reports, presentations, and other
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affiliated with the Center of Excellence Integreat . The position is for a period of four years. The nominal length of the PhD program is three years. The fourth year is distributed as 25 % each year and will
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with the Center of Excellence Integreat . The position is for a period of four years. The nominal length of the PhD program is three years. The fourth year is distributed as 25 % each year and will
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algorithms; Minimum requirements: - experience with cross-platform mobile development frameworks (Ionic); - experience in software development using the Python programming language. 5. EVALUATION
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leveraging on AI and optimization, applying data science and analytics techniques. Such tools will support the integration of Distributed Energy Storage (DES) and Distributed Energy Resources (DER) in
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resource utilization, leading to performance losses and excessive energy consumption. The problem is exacerbated in distributed environments, where hundreds or thousands of GPUs operate suboptimally
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to explore new optimizations, such as data deduplication, support for multi tenancy, and new scheduling algorithms. These optimizations should be implemented and integrated into the platform.; Implementation