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(100%) doctoral scholarship holder in the field of computer vision and modelling for biomedical applications Position You will work actively on the preparation and defence of a PhD thesis in the field
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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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the duration of 6 months estimated in the previous paragraph, this duration will be adjusted according to the end date of the project, and provided that the minimum duration of 3 consecutive months is guaranteed
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working with optical components and systems; Experience working with vacuum systems; Experience in general programming and computer interfacing and control of instruments by computer; Experience collecting
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
7 Jul 2026 Job Information Organisation/Company Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID Department DRH Research Field Engineering » Computer
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) NORTE2030-FEDER-01192300, co-financed by the European Union through the NORTE 2030 Regional Program, of Portugal 2030, under the following conditions:: Scientific Area: Computer Engineering Admission
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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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basis, eventually renewable but never exceeding the end of the project. If it is not possible to ensure the duration of 5 months estimated in the previous paragraph, this duration will be adjusted
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14 Jul 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Computer engineering Engineering » Other Researcher Profile First Stage
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adaptation, a form of adaptive optimization that consists of updating modifiers that are added to the objective function and constraints based on process measurements and the estimation of gradients with