43 machine-learning-and-image-processing-"RMIT-University" Fellowship positions in Portugal
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- INESC TEC
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29 Aug 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Computer engineering Engineering » Other Researcher Profile First Stage
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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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26 Aug 2025 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country Portugal
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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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: Civil, Mechanical, Environmental, Geographical, Computer and Naval Engineering, Technological Physics, Marine Sciences, Marine Geology or related areas; Graduates or masters in one of the mentioned fields
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 10 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
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skills. c) Documents that must instruct the application: 1. Motivation letter; 2. Detailed Curriculum vitae in English according to the requirements of the application; 3. Copy of Bachelor Certificate
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quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50 of the monthly maintenance stipend. INESC TEC supports costs with
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and processing of soil and chestnut tissue samples throughout the year; 2. Isolation, identification and characterisation of microorganisms from the samples using cultural and molecular methods; 3