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Field
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, and spatial transcriptomics. Key responsibilities include: Developing AI/ML methods for image alignment across modalities Automated feature detection Predictive modeling of vascularization patterns
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focuses are: 1) Investigating the underlying molecular mechanisms by which 3D genome topology controls the hematopoietic transcription program and lineage differentiation in normal and malignant
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techniques and their impact on coronary vessels. 3D Model Generation: Use advanced AI techniques to generate 3D anatomical models of coronary vessels and other cardiovascular structures from imaging data
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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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system The successful candidate will collaborate closely with Dr. Mc Keown and a PhD student to run experiments of CO2 and water sublimation under low pressure conditions, as well as develop 3D topographic
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diabetes. The successful applicant will develop cell-based model systems such as human stem cell-derived beta cells, using single cell genomic read-outs, and will explore poorly understood genome regulatory
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from 20 to 200 nm and temporal resolutions of less than 1 minute for 3D data acquisition. The PXM’s capability to operate at high X-ray energies (>20 keV) allows for enhanced penetration and reduced
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to innovative measurement techniques and novel technologies, like superconducting nanowire detectors and pixelized 3D-printed MCP-PMTs, capitalizing on Argonne's multidisciplinary expertise. Application Process
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changes in microgravity conditions. d. Ability to perform cell culture and tissue models such as 3D tissue models and microfluidic systems to simulate microgravity. e. Understanding and experience with
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applies platforms for state-of-the-art techniques for Accelerated Nanomaterial Discovery, integrating synthesis, advanced characterization, physical modeling, and computer science to iteratively explore a