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National Laboratory to accelerate materials discovery by integrating advanced 3D X-ray diffraction experiments, mechanistic modeling, and artificial intelligence. A powerful set of high-resolution 3D X-ray
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reporter cell lines, designing target-engagement and mechanism-of-action assays, and establishing preclinical tumor models to evaluate candidate compounds and inform the development of new therapeutic leads
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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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assemblage 3D. En particulier, les fonctions électriques ou optiques basées sur l'usage de matériaux PCM (optique reconfigurable, circuits optiques neuromorphiques, switchs optiques, …) utilisent des micro
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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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, relating to craniofacial identification research and 3D digital avatars. You will require a 3D animation, CGI, computer science and/or anatomical modelling background. A knowledge of anatomy and 3D
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antigens presented by MHC molecules. This curiosity-driven project develops cutting-edge AI technology for 3D TCR–pMHC modeling to improve neoantigen identification, TCR specificity prediction, and TCR
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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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related field by the start date. Strong background in atmospheric/air quality modeling with 3D chemical transport models (e.g., CMAQ, CAMx, WRF-Chem, GEOS-Chem). Experience working in high-performance
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-and-route, physical verification, DRC/LVS across heterogeneous stacks, timing closure under packaging parasitics), advanced packaging architecture selection (2.5D, 3D, hybrid bonding, fan-out