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for this grant: Requirement 1: - Be a student enrolled in a doctoral program in the Civil Engineering field, a requirement to be duly proven at the time of signing the contract. or - Holder of an academic degree
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Development Fund (FEDER) and by the Innovation and Digital Transition thematic programme (COMPETE2030), under the following conditions: Scientific Area: Chemistry. Admission requirements: To hold a Master’s
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/Qualifications Admission Requirements a) Be enrolled in an Integrated Master's or Master's programme in Electrical and Computer Engineering, with a major orminor specialization in the Scientific Area of Energy or
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and the following factors will be weighted: a) Academic training: i. Grade of the Master program: Grade x 7,0/20 points; ii. Attendance of courses in the area of Building Physics and Technology: Yes
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 10 days ago
17 Sep 2026 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Mechanical
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of the energy transition”, reference CETP/0003/2022, funded “Exclusively by National Funds through FCT, I.P. (CETP/0003/2022)”, under the following conditions: 1. Scientific Area: Computer Engineering 2
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-02703200, co-financed by the European Union through the NORTE 2030 Regional Program, of Portugal 2030, under the following conditions: Scientific Area: Chemical Engineering Admission requirements: Candidates
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electrical and Computers Engineering - Specialization in Automation - lower than 13/20 (1 point); B. Knowledge of Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number https://doi.org/10.54499/2022.01785.PTDC Is the Job related to staff position within a
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15/20 points (3 points), Classification/Average of the master’s degree in Informatics Engineering - lower than 15/20 (1 point); B. Knowledge of Cyber-Physical Systems, Predictive Maintenance Systems