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PhD Scholarship in Development of Cement-Free Living Building Materials for Sustainable Construction
systems, and explore their integration into extrusion-based 3D printing for sustainable construction applications. The project offers a unique opportunity to work across materials science, microbiology
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model of the product and its constituent parts. developing and maintaining 3D models of parts, assemblies, and overall product layouts; creating and maintaining large assemblies; establishing the product
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optimization of 3D printing and bioprinting based on natural polymers with different modes of mixing, crosslinking and cellular interaction Where to apply E-mail https://www.unibs.it/it/ateneo/amministrazione
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factor: Experience in the experimental development of cellular biomimetic environments, namely in the breast cancer context, with non-neoplastic and neoplastic cells, in 2D and 3D culture (spheroids and/or
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animation, 3D modeling) for humanoid applications Publish research findings in top-tier conferences and journals (e.g., SIGGRAPH, CoRL, ICRA, RSS) Assist in supervising graduate and undergraduate students
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characterization of materials’ magnetic, electronic and structural properties. Experience in spectroscopy and microscopy is valuable Knowledge in programming (Python) and 3D modelling will be valuable Availability
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methods and GIS tools to create 3D environments that integrate high-resolution 3D urban models with climate-resilience objectives. This should help policymakers and citizens optimize energy-efficiency
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Summary Seeking one motivated MS engineering student to support a research project on real-time refractory thickness measurement using thermal sensing, inverse heat-conduction model, and 3D
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modalities in the rodent brain (3D light-sheet microscopy, spatial transcriptomics and MRI of the same brain) to learn MRI contrasts that can depict neuronal and glial cell density and morphology. You will
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modalities in the rodent brain (3D light-sheet microscopy, spatial transcriptomics and MRI of the same brain) to learn MRI contrasts that can depict neuronal and glial cell density and morphology. You will