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Field
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molecular biology techniques, 2D and 3D cell culture models (hydrogels), imaging techniques (TEM, SEM, confocal), protein analysis (immunohistochemistry/immunofluorescence), and handling of rodents. Specific
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the recently published work of Spateo for spatiotemporal modeling of whole mouse embryos with 3D single cell spatial genomics: Qiu et al., Cell (https://doi.org/10.1016/j.cell.2024.10.011 (link is external
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the gating mechanism of TZ in cellular models such as RPE1 or cultured dopaminergic neurons by immunofluorescence microscopy. You will also build and test TZ-derived molecular prosthetics with the aim
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precision cardiovascular medicine, leveraging cutting-edge approaches such as human iPSC-derived 2D cardiovascular cells, 3D vascularized cardioids, CRISPR gene editing, high-throughput CRISPRko/i/a screening
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and multimodal perception/behaviors, generative diffusion models, cloud-based computer graphics, and neural rendering (e.g., neural radiance fields and 3D Gaussian splatting). The NYU ICL
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for such models include high-resolution 3D imaging, time-resolved materials characterization, and atomic structure determination. Scientific instrument data is often multimodal in nature and developing DL models
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static and dynamic 3D reconstruction, semantic scene understanding, and generative models for photo-realistic image / video synthesis. Overall, the main focus is on high-impact research with the aim
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reconstruction, 3D modelling software (Autodesk Revit, Dynamo), including open-source frameworks and algorithms for structural and M&E BIM reconstruction. 3. Experience in Python programming, machine learning
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(PET), functional MRI (fMRI), and electroencephalography (EEG), using advanced quantitative modeling techniques and artificial intelligence methodologies in brain diseases. The candidate will work
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approaches for important questions in neuroscience. We have multiple current and incoming NIH projects to establish cellular cell type architecture maps of mammalian brains using mice as an animal model. Three