75 phd-mathematical-modelling-population-modelling Postdoctoral positions at The Ohio State University
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of innovative research methodologies and will independently design, optimize, and execute complex immunologic and molecular experiments across in vitro, ex vivo, and in vivo model systems. Technical scope
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the supervision of Dr. Joseph Kwon. We’re seeking a creative Postdoctoral Scholar to join our team and advance cutting-edge multiscale and hybrid modeling—integrating first-principles simulations with
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to the development and refinement of innovative research methodologies and will independently design, optimize, and execute complex immunologic and molecular experiments across in vitro, ex vivo, and in vivo model
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studies, that are aligned with mentor teams research, ensuring consistency with established methodological approaches and models, adherence to project timelines, and completeness of documentation; write and
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working with the PI to develop and estimate statistical models and tabulate results. 10% of the time will be spent preparing manuscripts. 5% of time will be devoted to team meetings. The full research team
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investigator-initiated pilot studies, that are aligned with mentor team’s research, ensuring consistency with established methodological approaches and models, adherence to project timelines, and completeness
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mentor in the Department of Surgery. The laboratory investigates the use of retrievable stent grafts to model disease, treat traumatic vascular injuries, and achieve focused drug delivery
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both modeling and physical experiments of the structure and thermo-mechanical response of single and polycrystalline shape memory alloys; prepare reports, manuscripts, and proposals, advise undergraduate
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the interoception neuron circuit using the zebrafish model; independently designs new analytical approaches and tools; performs experiments; independently develops and troubleshoots new experimental techniques and
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are to 1) support the development, piloting, and dissemination of the decision support tool for farmers and policy makers; 2) bridge gaps between the project’s modeling and extension teams in development