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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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to developing methods for iPSC culture, 3D cell models, and stem cell differentiation within the field of complex tissue regeneration. In this PhD project, you will work at the interface of stem cell biology
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. Responsibilities will include electromagnetic simulation and modeling, RF coil development and fabrication, 3D design and printing of mechanical components, laboratory testing, and evaluation of prototype systems
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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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to developing methods for iPSC culture, 3D cell models, and stem cell differentiation within the field of complex tissue regeneration. In this PhD project, you will work at the interface of stem cell biology
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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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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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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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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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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