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Scholarship Theme: Title: Development of Experimental Educational Resources for Teaching Antennas, Propagation and Remote Sensing. Description: The scholarship is part of a project within the Department
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: How Algorithmic Personalisation Shapes User Experience (UX) in the Consumption of Journalistic Podcasts, within project UID/00711/2025 - Research Unit in Design and Communication (UNIDCOM/IADE), hosted
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, and systematic evaluation of results. Objectives: Development and application of artificial intelligence algorithms for different use cases in the energy sector, e.g., forecasting of renewable energy
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TEC. 2. OBJECTIVES: - The objectives of the scholarship focus on the development of an antenna based on a glass substrate.; - Identify and select suitable methods to develop the proposed work plan
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Rossier RG at INL. Job Duties The job duties will be the following: Analog quantum algorithms for quantum search and optimisation based on quantum Hamiltonian evolution. Quantum algorithms for simulation
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combinatorial optimisation: Research in randomised optimisation algorithms, including evolutionary algorithms, tabu search, and many other approaches also collectively known as meta-heuristics, has long favoured
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teaching scenarios both supported on an existing Hardware-in-the-Loop (HIL) equipment, enabling students to deploy their own control algorithms, state eObjectives By the end of the three-month period, the
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neighbourhood exploration in combinatorial optimisation: Research in randomised optimisation algorithms, including evolutionary algorithms, tabu search, and many other approaches also collectively known as meta
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generation algorithm based on different approaches to improve understanding the behavior of forecasting algorithms in time series and tabular data. The workplan will be as follows: Literature review Design of
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holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Study the main exact subgraph counting algorithms identified in the survey (e.g., ESU/FANMOD, Kavosh, GTrie, FaSE, ORCA