19 phd-mathematical-modelling-population-modelling Postdoctoral positions at University of Oregon
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mechanics using wearable sensors. • Models of bone health in running populations. • Models of tissue stress and strain in athletes. • Models of health and performance in female athletes. • Models of athlete
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populations, and actively seeks to promote research that reduces health disparities in service utilization. Position Summary Postdoctoral scholars seek to improve skills in independent research through direct
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. Minimum Requirements • PhD in a quantitative field, including physics, neuroscience, mathematics, statistics, computer science, or related fields. • Strong quantitative background including at least some
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graduate education in the Department of Geography focuses on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b
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of self-regulation and school readiness in early childhood, 2) designing and evaluating targeted interventions, curricula, and policies to enhance these skills in children from minoritized populations (e.g
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fault mechanics, as well as earthquake hazards; (b) Volcanology: geochemistry, physical volcanology, igneous petrology, and volcanic systems modeling; (c) Climate science: glaciology, paleoclimate and
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preclinical models Professional Competencies • Effective communication skills, including the ability to communicate in writing • Ability to work independently and within a team Preferred Qualifications
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tissue-resident adaptive immunity, with opportunities to work across murine and human models. Beyond research, the scholar will actively participate in student mentorship and assist the principal
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researcher position with an anticipated duration of 16 months, to work under the direction of Dr. Melissa Lucash. In our lab, we use a variety of tools (e.g. big data, spatially explicit simulation modeling
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on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b) Human geography: political-ethnic, cultural, human-environment