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Field
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construction materials with a low carbon footprint, focusing on the valorisation of industrial residues and the development of technologies for CO2 capture and mineralisation in construction materials
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research fellowship, within the project “3DSpin - electrospun-based structures for skin regeneration”, financed by “+Ciência“, under the following conditions: . SCIENTIFIC AREA: Biomedical Engineering
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full-wave simulations and characterize the relevant metamaterial structures. Extend existing analytical tools and numerical models. Prepare and publish scientific articles and reports and co-supervise
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 24 days ago
manufacturing and structural analysis by simulation in the testing pyramid for certification of aeronautical structures, increasing the reliance on digital technologies (data or simulation driven) to ensure
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evaluated based on the information described in the detailed Curriculum vitae and other documents presented in the application. The Curriculum vitae must be structured to reflect the sequence of the criteria
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 18 days ago
), financed by national funds through FCT Workplan: The main objective of the fellowship will be to study the effects of heterogeneity in spatially-structured or host-structured multi-species models governed by
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following use cases: • The construction of a machine learning pipeline that allows the conversion of Course Unit Sheets (CUS) into a data structure based on the European Learning Model (ELM). • Integration
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: Master's degree in Psychology, specializing in the field of Neurobiopsychology, including: a) good knowledge of brain function in structural and functional terms; b) knowledge of the physiology
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: The work plan involves the fabrication of thin films by laser ablation and/or sputtering. The structural, elemental, and electrical characterization of the fabricated thin films will be carried out with a
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 25 days ago
simulations with data-driven machine learning approaches. By incorporating PINNs and vPINNs, the aim is to create robust numerical tools capable of simulating and predicting structural phenomena under different