76 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at The Ohio State University
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Sciences Administration Dr. Lillard in Human Sciences in the College of Education and Human Ecology is seeking a Post Doctoral Scholar to be part of an NIH funded project to study determinants and factors
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academic background in agricultural engineering, ecological engineering, environmental engineering, civil engineering, hydrology, or closely related field. • Experience using hydrologic models, decision
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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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Sciences | Evolution Ecology and Organismal Biology-Interim The Postdoctoral Scholar will participate in a lab-based research project that evaluates the drivers of eye diversity and function under dim-light
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Sciences | Evolution Ecology and Organismal Biology-Interim The Postdoctoral Scholar will participate in a lab- and field-based research project that evaluates the underlying molecular mechanisms that allow
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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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| School of Environment and Natural Resources The Terrestrial Wildlife Ecology Laboratory in the School of Environment and Natural Resources at The Ohio State University invites applications for a
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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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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