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- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
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: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and composites
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Omics Sciences Unit at Eurecathttps://eurecat.org/en/field-of-knowledge/omic
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FieldEngineeringEducation LevelBachelor Degree or equivalent Skills/Qualifications Technical Skills: Optimization and Simulation Software. MATLAB / SIMULINK. Python. Specific Requirements Knowledge: Energy Systems and Smart
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within one year, an adequate knowledge of the two official languages of Catalonia Advanced level of English Advanced level of office software tools (Excel, Word, PowerPoint, etc.) Skills will be valued
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. Specific Requirements Knowledge: Conceptual abstraction. Statistics, optimization and modeling of large-scale problems. Professional Experience: Experience in functions similar to those described will be
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announced to carry out the following projects: “MELIORA: Multimodal Engagement and Sustainable Lifestyle Interventions Optimizing Breast Cancer Risk Reduction Supported by Artificial Intelligence” and the
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scaffolds (PLA-based) Optimization of additive manufacturing processes and scaffold design Study of scaffold degradation rates Application and optimization of piezoelectric ceramic coatings Development
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As a flagship research center in nanoscience and nanotechnology, our mission is to open and explore new frontiers of knowledge at the nanoscale, and bring value to society in the form of new
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workflows to accelerate the discovery and optimization of advanced materials for energy applications. Within the SEMS group at IREC, the main objective is the implementation of an automated experimental