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-based modeling, and multi-omics analytics, including bulk, single-cell, and spatial transcriptomics, to uncover molecular mechanisms in cancer, immunology, and more. With a strong translational focus, the
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. These studies involve the clinical and pre-clinical development of novel anti-cancer therapies and novel drug combinations, as well as characterizing the mechanisms of resistance to FDA approved agents
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expertise in immunology with multi-color flow cytometry, confocal microscopy, molecular biology techniques such as qPCR, Western blot analysis, experience analyzing large and complex data sets, and strong
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projects during their Ph.D. and possess significant experience in standard laboratory methods. The position requires the ability and willingness to obtain federal clearance for work with Select Agents and
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in Dr. Shanlin Ke’s lab. The overarching goal of Dr. Ke’s lab is to develop computational approaches and leveraging bioinformatics tools, metagenomic sequencing, multi-omics data, machine learning, and
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and cover crop maps over the entire CBW by leveraging multi-source remote sensing data (e.g., Landsat, Sentinel-2, WorldView3) and field observations Integrate the newly developed tillage and cover crop
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, confocal/multi-photon high resolution imaging, patch clamping. The Ai lab offers a unique, dynamic environment encompassing both basic science and translational research funded by the NIH. Qualified
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the time of appointment. Demonstrated record of accomplishments in affective science. 1-3 published papers in affective science. Preferred Qualifications: Expertise in data analysis including multi-level
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and
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high-risk individuals, and tailor treatments based on individual genomic differences. The post-doctoral fellow will work on large-scale genetic data analysis, genetic risk prediction, multi-omics, and