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mechanics, aerospace structures, laminated composite materials, computational mechanics, machine components design, aerodynamics, computational fluid dynamics, aircraft design and aircraft optimal design. To
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
Qualifications: Bachelor’s degree in Mechanical Engineering Proficient knowledge of the finite element method for structural analysis using Abaqus® software Advanced knowledge of programming languages such as
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. The fellowship is due to start in 04/2026. . WORK PLAN: Development and characterization (physicochemical, mechanical and biological) of 3D biphasic structures based on electrospinning with bioactive agents
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type. The fellowship is due to start in April 2026. . WORK PLAN: The aim is to support research and development work on mechanisms and proofs of concept that allow the integration of a digital
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artifacts developed in previous tasks and ensures systematic model improvement over time. The work plan includes: Automated Dataset Expansion (Month 1) Implement mechanisms to collect and track secure and
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solutions focused on urban mobility solutions: - State-of-the-art development of bike-sharing systems; - Search for design and mechanical construction solutions; - Definition of requirements and
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Reference Number AE2026-0054 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0054.pdf CALL FOR
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of the Plano de Recuperação e Resiliência (PRR), operational program C5 Capitalization and Corporate Innovation, under the following conditions: 1. Scientific Area: Mechanical engineering or related fields. 2
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the launching of a call for awarding a research fellowship (RF) in the scope of the research program FightRn – Solutions for radon mitigation in buildings through protective barriers for construction materials
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, entity resolution, unit/format normalisation, and metadata enrichment. 3. Quality and traceability: implement mechanisms for provenance, confidence scoring, and human-in-the-loop review. 4. Validation