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manufacturing of metamaterials using shape memory alloys and functional gradients. In detail, the main research tasks include: Optimization of additive manufacturing parameters of diverse structures using LPBF
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complex R&D projects, as well as efficient resource allocation, will be key aspects of the role. A proven track record as Principal Investigator (PI) in competitive research projects and securing funding is
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resource allocation, will be key aspects of the role. A proven track record as Principal Investigator (PI) in competitive research projects and securing funding is highly desirable. The successful candidate
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mandatory. Some programming knowledge (preferable in python) is desirable, as well as in artificial intelligence techniques, data visualization, image analysis. In this study, the candidate main task is to
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within IMDEA Materials. Specifically, the main tasks will include: Implementation of standardized data pipelines for automated ingestion, transformation, and storage of experimental data from metal LAM and
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Requirements A BSc degree in an engineering field is required. Previous experience with robotics and computer programming is essential. Proficiency in English is also necessary. Current Master's students