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(or to be determined by mutual agreement). Selection process The selection procedure consists of a preselection based on application file and an interview. Website for additional job details https
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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vacancies under this procedure. The reserve list is valid for 2 months. VIII- Application Submission Candidates must access and register on the electronic platform https://apply.uc.pt/ to submit
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Description Mission: Perform the characterization and simulation of CO2 capture and reuse processes. Functions to be developed: Characterize, simulate and model processes for capturing, purifying and reusing
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23 Mar 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Application
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
of numerical simulations and digital twins. By using advanced machine learning methods, such as Physics-Informed Neural Networks (PINNs) and Variational Physics-Informed Neural Networks (vPINNs), the project
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Extension, Matanuska-Susitna College, Prince William Sound College, and Prince William Sound College - Cordova Extension) Online: https://www.uaa.alaska.edu/students/safety . Request a paper copy in person
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with industrial research partners, develop innovations, and offer students excellent academic teaching in the fields systems theory, automation, and control engineering. More info at https
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, decision-makers, etc.) from several countries to co-construct knowledge and facilitate the science-policy interface, whilst ensuring that the views of stakeholders distant from the decision-making process
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Initiation Grant under the “Smartubending – Curvadoras inteligentes, eficientes e conectadas” project, with nr. 18440 and operation code at the Funds Platform (Balcão dos Fundos) COMPETE2030-FEDER-01480000, co