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available in the Center for the Chemistry of Molecularly Optimized Networks (MONET) at Duke University. The position will support the development and use of data tools for polymer network chemistry, lead and
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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, and (b) the critical role of structural and functional connectivity using combined tractography and graph theory analyses. Our modeling of mnemonic representations uses the latest tools available to AI
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discovery and computational tools. The successful applicant will lead a research project and will have the opportunity to mentor students. Candidates must hold a PhD or anticipate completion of a PhD prior to
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automation tools for academic and translational applications. Required Qualifications at this Level Education/Training PhD Duke is an Equal Opportunity Employer committed to providing employment opportunity
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data sets using cell ranger pipeline and additional analysis tools is desired. Must have writing experience; manuscript, grant and/or abstracts for scientific meetings Preferred Qualifications: Must be
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for genome and epigenome editing tools. This will require expertise in molecular and cellular biology, molecular engineering, genetic manipulation, and bioinformatics. Your primary focus will be using