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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 1 day ago
on https://dre.pt/application/file/a/127230968 . Workplace: The work will be carried out at MARETEC – Marine, Environment and Technology Centre at the Instituto Superior Técnico (University of Lisbon
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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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-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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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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monitoring Generic scientific area: Environment Engineering, or similar. Specific scientific area: Environment Engineering, or similar. Where to apply Website https://www.ipc.pt/bupc/concursos/form
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. The results of the contest will be made available in the same admissions platform. Where to apply Website https://fenix.tecnico.ulisboa.pt/fenixedu-admissions Requirements Research FieldBiological sciences
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Framework Programme? Not funded by a EU programme Reference Number AE2026-0244 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https
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Advisor: João Paulo Lopes Monteiro (ist169647) Organic Unit: Department of Electrical and Computer Engineering Scholarship Theme: Software development for 5G Nanosatellite mission Duration: 12 months
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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