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Field
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. The Lindberg lab explores smart chemical and biological toolkits for biofabrication of advanced 3D-models, organoids, and injectable therapies. Ongoing projects aim to advance treatments for musculoskeletal
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and machine learning with density functional theory, or other similarly relevant computational methods, to advance understanding of materials design predictions for 2D and 3D systems with electronic and
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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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they promote translocation biogenesis, and testing them in preclinical models. The work combines CRISPR engineering of B cells, protein biochemistry and genomics approaches including RT measurements, replication
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automated liquid-handling workflows on an Opentrons Flex platform (Python API). Establish and run spatial proteomics on in vitro co-cultures, engineered 3D tumor models and tissue sections. Implement clonal
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disease Utilize advanced research techniques, including: In vivo mouse genetics Live imaging 3D organoid models Functional screening approaches Next-generation sequencing technologies Analyze tissue
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vertically. The project combines urban studies, remote sensing, 3D modelling, environmental science, architecture, political science and participatory approaches to investigate the environmental, social and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days 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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-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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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