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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 | 29 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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of Leiria, Pedro António Amado de Assunção Where to apply Website https://recrutamento.ipleiria.pt/processos-ativos/bolseiros/concurso?recruitmen… Requirements Research FieldEngineering » Computer
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subcellular mechanisms (proliferation, differentiation) with multicellular mechanical and biochemical interactions. Apply Advanced Statistical Methods: Perform Bayesian parameter estimation and identifiability
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of Leiria, Pedro António Amado de Assunção Where to apply Website https://recrutamento.ipleiria.pt/processos-ativos/bolseiros/concurso?recruitmen… Requirements Research FieldEngineering » Computer
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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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subcellular mechanisms (proliferation, differentiation) with multicellular mechanical and biochemical interactions. Apply Advanced Statistical Methods: Perform Bayesian parameter estimation and identifiability
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), of the Polytechnic of Leiria Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Undergraduate Positions Application Deadline 6 Mar 2026 - 23:59 (Europe/Lisbon
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collaboration. The successful candidate will be exposed to and trained in both low-level instrumental modeling, high-level component separation and cosmological parameter estimation, and high-performance