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manufacturing processes for construction, including data-driven, sensing, and behaviour-informed robotic workflows. • AREA 3: Low-carbon 3D concrete printing, including computational design, process optimisation
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systems, segmenting medical imaging data, and creating accurate 3D anatomical models for analysis and 3D printing. You’ll be working alongside multidisciplinary teams across clinical, research, and
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the medium and long term. We are looking for a Machine Learning Research Engineer: The ideal candidate will bring deep expertise in state-of-the-art deep learning methods applied to computer vision, 3D
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of osteovascular effects of co-cultures with multicellular tissues in 2D and 3D culture (hydrogels, solid scaffolds) Analysis of the effects of different media compositions (osteogenic and angiogenic media) on cell
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effects analysis (FMEA) for design work Conduct hands-on work related to lab set-up and readiness. Have skills in simulation of material performance using software tools like ANSYS. Prepare 2D and 3D
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partners outside academia and with participatory/living lab approaches – advantage Experience in data analysis (e.g., behavioral metrics, experiments) or prototyping and evaluation – an advantage in 3D/VR/XR
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arquitectura con madera. English: Collaboration in the following tasks: - Analysis of the productive sector and architectural production using hardwood. State-of-the-art review. Creation and management
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optimization and aerodynamic modeling. Fabrication: Composite layup, 3D printing (FDM/SLA), and assembly of drone airframes. Testing: Wind tunnel, fatigue, and flight tests for mechanical and aerodynamic
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Advanced 3D Organotypic Bone Models for In Vitro Osteosynthesis Research
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candidate will undertake a range of activities, including: Contributing to a project investigating how 3D engineered microenvironments modulate stem cell behaviour in osteoarthritis, working under