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Abrahao (NYU Shanghai) and João Sedoc (NYU Stern). Research Focus Areas Our research encompasses topics in DL and AI, including but not limited to: Deep Learning Algorithms and Paradigms Generative Models
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impact of the proposed research that explains how the proposed project will change or influence behavior, practice, procedures, or policy at the relevant scale. A co-creation model of engagement with
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consists of empirical methods (observational and controlled experiments) and theoretical modeling (mathematical, statistical, and computational). The Fellow will work closely with Dr. Otárola-Castillo
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biomarkers, and electronic health records) and developing computational models. Establishes frameworks for data modernization, integrating metadata and varied datasets to create databases suitable for cross
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uses quasi-experimental methods to identify causal effects and test the predictions of economic and sociological models. Examples of current research projects include: long-term impacts of neighborhoods
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strong academic preparation and experience in both experimental and modeling research work documented by corresponding journal publications, and is expected to perform the following tasks/duties
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participants. Postdoctoral fellows will receive support for professional development and skills training to advance manuscript writing, data analyses, presentation acumen, and research models. The primary mentor
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of CRISPR/Cas9 gene editing, generating mouse models is cost prohibitive and largely inaccessible. To circumvent this, we developed a highly efficient electroporation-based editing technique called CRISPR-EZ
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data collection, analysis and reporting Conceptualization and implementation of statistical models Collecting, managing, and structuring quantitative datasets Report writing and manuscript preparation
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. Preferred Experience Experience with vesicle/liposome study and manipulation. Experience with microfluidic systems or dynamic mathematical modeling, Experience within the fields of astrobiology and