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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 41 minutes ago
. Workplace: The work will be developed at Centro de Ciências e Tecnologias Nucleares of Instituto Superior Técnico, under the scientific supervision of Joana Múrias Gomes Lage, PhD. Website for additional job
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one or several R&D units. In what concerns the admission requirements for this research grant in particular: - Be a student enrolled in a PhD program in the field of information science and technology
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areas, enrolled in a PhD or in non-degree courses. DURATION: The fellowship will have a duration of 12 months, eventually renewable until the end date of the project or up to the maximum duration
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legislation. Procedure Reference: IT137-25-329 I - Legal admission requirements I.I - Grant Recipients: Masters in Mechanical Engineering, enrolled in the PhD Program in Mechanical Engineering. Knowledge in
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26 Aug 2025 Job Information Organisation/Company INESC TEC Research Field Computer science » Computer systems Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 26
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, on the date of their hiring, prove their enrollment in one of the following courses: - PhD in Chemical and Biologic Engineering; - Non-academic degree course. Requirement for granting the fellowship
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, on the date of their hiring, prove their enrollment in one of the following courses: - PhD in Chemical and Biologic Engineering; - Non-academic degree course. Requirement for granting the fellowship
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degree or Master / Integrated Master courses in the scientific area of Computer Engineering and similar areas. The proof of enrollment must be made until the contract signing date, and the candidate may
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, morphological, chemical, physical and mechanical characterization; Knowledge in additive and/or subtractive manufacturing; Knowledge in CAD modelling, Knowledge in computer simulation: • Excellent knowledge – 20
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 7 days ago
and cast parameter/state/fractional‑order learning as an Expectation–Maximization (EM) procedure interpreted through a dynamical‑systems lens (e.g., fixed‑point/stability analysis of the EM iterates