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of sources and chemical transformations are not yet well represented or tested in large-scale models. The goals of this PhD project will be to better represent these processes in a global 3D model, to test
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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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circuits, antenna engineering, electromagnetic modelling, additive manufacturing, materials characterisation and experimental validation. The appointee will work closely with the Chief Investigator (CI
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experiments using cancer and stromal cell models, including CRISPR/Cas9-based genetic approaches to investigate Cx43-dependent mechanisms. Establish and characterise tumour–stromal co-culture and 3D models
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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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-dimensional documentation and recording of archaeological materials and structures using high-precision 3D scanners and in processing digital models. • Track record of scientific publications in prehistoric
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
, polymers, hydrogels, and wearable and implantable biosensors. Experienced in applying these materials to three-dimensional (3D) cell culture models and translational diagnostics or similar. Preferred
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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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their website at https://www.naritalab.com/ Our laboratory investigates the biology of preneoplastic cell states, with particular interest in how changes in cell functional identity and plasticity are controlled
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an integrated field and numerical modeling approach. Your tasks are to: - reprocess and jointly model the available regional magnetotelluric (MT), gravity and magnetic data to develop an initial model