35 parallel-computing-numerical-methods Postdoctoral positions at University of Oregon
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Apply now Job no:535376 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Instruction, Computer and Information Science, Data Science Department: CAS CIS Computer & Information
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, experimental methods, or computational modeling relevant to materials science research. • Experience working as part of an interdisciplinary research team. • For postdoctoral or research associate roles
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. • Experience analyzing and interpreting scientific data using appropriate analytical or computational methods. • Experience contributing to scholarly publications, presentations, posters, or technical reports
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environmental education. The IROCE has a number of program areas, including the Ecosystem Workforce Program, Disaster-Resilient Universities network, Location Innovation Lab and several individual research
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(such as authoring or co-authoring a published systematic review), training in quantitative methods (particularly meta-analysis or data science), proficiency with statistical analysis software (particularly
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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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research settings. Preferred Qualifications • Experience submitting federal grants. • Experience managing, collecting, analyzing, and publishing mixed method data (qualitative and quantitative). • Previous
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faculty, staff, and students from a variety of diverse backgrounds. The successful candidate will work on either the Regenerative Rehabilitation Moonshot program or the Innovation Hub program of the Wu Tsai
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appointments that are full time, part-time or short term, contracts not to exceed one year. There is a possibility of renewal up to a total of three years, depending on program needs, funding, and performance
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Apply now Job no:536170 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Research/Scientific/Grants, Computer and Information Science, Data Science Department: CAS Department of Data