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) Positions Undergraduate Positions Country Portugal Application Deadline 6 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework
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to candidates with knowledge and skills in optical communications and signal processing for communications. Work Objectives: The objective of this project is to develop: 1) optimized pre-amplification schemes
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: Detailed definition of the functional and non-functional requirements of the scheduling optimization system. Identification of relevant data sources (e.g., booking history, athlete data, class and room
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. Assess the performance of the optimized panel (mechanical resistance, air permeability, acoustic performance). Optimize the ventilation system's configuration. Optimize the configuration of ventilation
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | 22 days ago
applications for one (1) Research Fellowship for MSc., in the framework of the R&D project “Prediction and Optimization of Energy Flexibility in Renewable Energy Communities”, with the reference COMPETE2030
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
following conditions: Scientific area: Industrial Engineering and Management Work plan: Research in Last Mile (routing models, simulation, and Artificial Intelligence). 1. Duration and Terms: Duration of 12
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losses (insertion and propagation) and to optimize the entire fabrication process. The work includes writing in silica substrates or multicomponent glasses. Additionally, the fabrication of waveguides in
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, supported by INESC TEC. 2. OBJECTIVES: The main objective of the work to be carried out during the grant is to design and implement storage optimizations to be incorporated into a new flexible and modular I/O
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maintenance and optimization of the operation); 2) Conducting analysis on models related to energy storage and developing prediction models to show, against a baseline, the improvement of the evaluated tools by
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the AIDA-ABI ecosystem for automatic scheduling in a hospital environment. Workplan and objectives to be achieved: Work to be developed: A1 - Development of optimization models for intelligent scheduling in