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degree (M.D., M.B.B.S., or equivalent. Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry out the project as detailed. It
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Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
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chromatographic methods. Conduct rigorous QC workflows (UV-Vis, LC-MS, mass spec) to confirm identity, purity, and yield. Scientific Collaboration & Project Oversight Interface with internal and external
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bioanalysis method development, validation, and samples analysis to clinical studies, which focus on a phase 1 single dose study to evaluate the pharmacokinetic and local GI drug release/dissolution of new drug
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* Applicants should have a medical degree (M.D., M.B.B.S., or equivalent.) Translational projects will require the postdoctoral fellow to work with faculty to plan study methods, draft IRB protocols, and carry
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applicant for a Post Doc position. The candidate will work on multiple funded/unfunded research projects that aim to develop novel methods and devices to assess and improve neurological outcomes after stroke
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in which they will acquire core skills in research methods including analytic skill development, manuscript writing, project management, and grant development through applied research as
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; assist with manuscript and grant writing; develop a K award, educate collaborators and lab members on methods used in analyses; supervise students rotating through the lab; stay abreast of new analytic
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). Knowledge and experience with advanced computational and statistical methods Demonstrated success in designing and completing high-quality academic research projects Experience with tools and techniques
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, Epigenetics, Systems Biology, and Bioinformatics. Research experience of microfabrication, soft-lithography, and microfluidics. Knowledge of statistical methods commonly used in single-cell and spatial omics