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to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 5 days ago
the most significant microscopic parameters for the homogenized response Develop and train machine learning models to estimate the homogenized properties from such parameters Document research findings
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to apply Website https://recrutamento.ipleiria.pt/admin/manager/recruitment_processes/172 Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree or equivalent Additional
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Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields of Computer Science and Electrical and Computer
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Electrical and Computer Engineering, and with a suitable scientific and professional curriculum may apply. The candidate(s) must be enrolled in a MSc program - art. 6º, n.4 b) https://diariodarepublica.pt/dr
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and Computer Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy. Societal digital transformation. INESC-ID
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and Computer Engineering. INESC-ID’s research impact is focused on four Thematic Lines Energy transition Life and health technology Security and privacy. Societal digital transformation. INESC-ID
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Computer Engineering, and with a suitable scientific and professional curriculum may apply. The candidate(s) must be enrolled in a MSc program - art. 6º, n.4 b) https://diariodarepublica.pt/dr/detalhe
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11 Mar 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application
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to machine learning algorithms in order to get uncertainty estimates for parameters governing the distribution of the observed data. The predictive Bayes scheme for uncertainty quantification contains a wide