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methods (e.g., AFM, Nano-IR, STM, SECCM, SICM, SECM), advanced light and electron microscopy, materials synthesis (e.g., conductive metal-organic frameworks, 2D/hierarchical structures, nanoparticles
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funded. The successful applicant will work in Professor Carlos Argüelles’ group on the development, construction, and deployment of TAMBO Phase 1. Candidates with strong expertise in data acquisition
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: kgozzi@fas.harvard.edu Mailing address: Kevin Gozzi Rowland Institute at Harvard 100 Edwin H Land Blvd Cambridge, MA 02142 Contact Email: kgozzi@fas.harvard.edu Special Instructions: To apply, please send
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methods (e.g., AFM, Nano-IR, STM, SECCM, SICM, SECM), advanced light and electron microscopy, materials synthesis (e.g., conductive metal-organic frameworks, 2D/hierarchical structures, nanoparticles
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pseudostratified epithelial architecture, and its role in tissue behavior. It will also involve use of advanced live imaging, genetic manipulations, computational modeling, and mentoring junior team members. A
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of machine learning models for object detection, classification, and outlier detection across multiple sensor modalities. Depending on previous experience, provide scientific oversight to volunteers, students
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the direct supervision of a postdoctoral fellow to study breast cancer initiation and progression using a newly developed mouse model of breast cancer together with primary patient samples. You will
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computational and systems biology approaches to analysis of single-cell RNA-sequencing data. These datasets derive from samples of human lungs, and also from mouse models of airway injury, inflammation and
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Qualifications Preference will be given to candidates with prior experience in one or more of the following areas: ecological (population) modeling, geographic information science, remote sensing, population