64 computer-simulation-nanoparticle Postdoctoral positions at The Ohio State University
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Biomedical Informatics
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Biomedical Informatics
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar - Biomedical Informatics
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regulation by noncoding RNA, molecular biology, biotechnology, RNA motility, RNA dynamics, biochemistry, or protein/RNA structural computation. We aim to train and develop the next generation of scientific
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pharmaceutical engineering, materials chemistry, EV biology, immunology, protein and genetic engineering, and data science. The current focuses of our group include biohybrid lipid nanoparticle platform
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from human cochlear implant users with computational modeling and simulation. Research approaches will include electrophysiological recordings of auditory nerve responses, computational modeling and
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nanoparticle platform development for DNA delivery; mRNA-based non-viral cancer immunogene therapy; and lipid nanoparticle platform development for inhalable mRNA delivery. The candidate will plan, design and
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. many Tb) Knowledge of MC generators and detector simulations Strong software skills in e.g. c++ and python for scientific computing Desired Qualifications: Interest in global hyperon polarization
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experimentation, advanced metallurgical characterization, and computational modeling for quantification of materials properties related to weldability and printability, and for alloy development and compositional
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components of advanced alloys; applies experimentation, advanced metallurgical characterization, and computational modeling for quantification of materials properties related to weldability and printability