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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA CIVILE, CHIMICA, AMBIENTALE E DEI MATERIALI | Italy | about 2 months ago
science, this approach will deliver tools for data-driven, sustainable composite design and inform industry decision-making on a global scale. Parametric modelling with 3D CAD tools and programming
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., woodworking equipment, 3D printers, laser cutters, CNC machines) Knowledge of materials relevant to architectural model making, including timber, plastics, and composites. Ability to demonstrate and train
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infrastructure systems with interest in applications of new and emerging technologies. Particular areas of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and
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, updated 2025/11/03, listed until 2026/05/16 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description The Center for High Order Plasma Turbulence Modeling for Z-Pinch (HighZ: https
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this position, curriculum vitae (including a publication list if available), certificates (certificates should be submitted in English) and contact details of at least two referees through this form https
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liquid and solid, is also at the basis for many innovations such as 3D printing, biological tissue engineering, and robotics. Sound waves, and their associated “radiation pressure,” can apply average
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of the synthesised molecules in enzymes Biological evaluation on 2D and 3D cancer cell models Where to apply E-mail laia.josacullere@iqac.csic.es Requirements Research FieldChemistry » Organic chemistryEducation
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of the synthesised molecules in enzymes Biological evaluation on 2D and 3D cancer cell models Where to apply E-mail laia.josacullere@iqac.csic.es Requirements Research FieldChemistry » Organic chemistryEducation
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networks. Through these efforts, ANCHOR will not only deepen fundamental theories but also provide practical, scalable solutions to improve 3D coverage, mobility, latency, network capacity, energy efficiency
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. This project aims to overcome that limitation by extending our high-throughput metabolic fingerprinting platform into 3D cancer models such as spheroids and organoids. By combining untargeted metabolomics, high