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provides an opportunity to apply advanced informatics, artificial intelligence, human-computer interaction, and data science methods to understand and mitigate health disparities, enhance patient engagement
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related field relevant to the chosen topic - for Postdoc Position Extensive and proven experience in organic chemistry and/or polymer chemistry Experience with analytical methods for polymer
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developments in artificial intelligence tools and technologies are blurring the lines between human and computer generated. In the last few years, we’ve seen a number of online avatars used by various companies
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- the human retina - an organ readily accessible to relatively compact and non-invasive optical methods. Our organ of vision has well-defined inputs in the form of an array of millions of photoreceptors and
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estimation, and tests for interactions; Designing methods to overcome numerical challenges. What do you have to offer You have a PhD in a topic that involved Bayes factor hypothesis testing. You can
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: Responsible for performing organic reactions in Dr. Sielecki’s lab within the Institute of Advancing Medical Innovation and the Department of Cancer Biology. Post-docs will learn methods appropriate
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equity, with the goal of using advanced quantitative methods to identify how housing policy can be used to address health disparities. Under direction of the PIs, the postdoc will lead data management and
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documentation. The role emphasizes methodical validation, standards-aligned documentation, and advancing the underlying science of assay behavior and measurement fidelity, translating bench-top prototypes
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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi
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into the same devices. The research project is part of a larger consortium, gathering world-class researchers in remote sensing with expertise ranging from estimation and optimization theory to hardware design