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Research Grant Assignment The University of Coimbra opens a call for the assignment of a research grant, with one position(s), under the project COMPETE2030-FEDER-00766600 operation n.º 16495, title Fyn-in
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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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Research Studentships (for students of a Master or Integrated Master students) - (BL139/2026-IST-ID)
Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 11 days agotasks of WP2, supporting the final prototype design specifications. The candidate must demonstrate skills in programming, ray tracing for designing optical systems, and heat transfer processes in thermal
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28 Jul 2026 Job Information Organisation/Company Universidade de Coimbra Department Divisão de Projetos e Atividades (Bolsas) Research Field Engineering » Computer engineering Researcher Profile
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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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structuring of novel light-sensitive poly(amino acid) materials - a paradigm shift in delivering biocompatible devices", reference 101129842 of CICECO - Aveiro Institute of Materials, under the following
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30 Jul 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Researcher Profile
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- Criterion 2 - - Specific knowledge related to the work plan: Knowledge of basic laboratory techniques and familiarity with computer programs for document processing, data analysis or image processing
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, Automation, Machine Learning and Artificial Intelligence, Sensor Networks, Hierarchical Decision and Control Systems, with a primary focus on manufacturing and autonomous systems. (1 to 5 points); C
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Information Management, or related fields; Have basic knowledge of machine learning models in supervised and unsupervised learning tasks (i.e., k-nearest neighbours, Decision Trees, Neural Networks, Logistic