19 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions at University of Oregon
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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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Performance Alliance lab equipment, protocols, and programs. In this position, you will focus on one (or more) of the following focus areas: • AI-based models of athlete performance. • Models of running
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for a total appointment of five years. Renewals will be dependent upon program needs, funding, and performance. Salary will be dependent upon education and experience. Minimum Requirements • PhD in a
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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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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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at the University of Oregon offers BS, MS, and PhD degrees in Computer Science; instruction is provided by 16 tenure track faculty, 2 emeritus faculty, and 6 career instructor faculty. The department serves
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): • Bachelor’s degree in Linguistics or related field To qualify for the rank of Research Assistant (Type C): • Master’s degree in Linguistics or related field To qualify for the rank of Research Associate: • PhD
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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