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predict the behavior. You will be embedded in our team, which holds dedicated in-house expertise in 3D printing, pH-feedback systems and modeling, and you will have assistance on the various aspects
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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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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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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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Extensive experience with high-vacuum equipment Experience in 3D modelling and design using AutoCAD or comparable software Experience in simulating ion trajectories in ion-optical systems using SIMION
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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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characterization of novel biocompatible three-dimensional materials (3D scaffolds). Where to apply Website https://www.inrim.it/it Requirements Additional Information Eligibility criteria Qualifications and
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the impact of persistent chemical contaminants on immune tolerance mechanisms in type 1 diabetes using 3D models based on perinatal stem cells and human pancreatic islets" Type 1 diabetes (T1D) is an
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
computational models to interpret complex biomedical data across multiple scales. Our innovations in tissue clearing, 3D microscopy, and AI-driven pathology have been featured in leading journals (Nature Methods
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3D scaffolds), as well as demonstrated competence in assessing the efficacy of anticancer treatments and/or X-ray irradiation in these cellular models (or others), including the evaluation of cell