227 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Idaho
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. or Ed.D. in a relevant field Experience with assessment, accreditation and academic program review Demonstrated success in leading or collaborating with cross-functional teams Familiarity with Banner
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on how the candidate meets the criteria outlined in department and college bylaws. The successful candidate will be expected to initiate and conduct an innovative and comprehensive research program focused
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/idaho-ag-experiment-station/centers/aberdeen Position Qualifications Required Experience Experience with methods used in agricultural crop production Experience with safety practice Experience in
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, staff and students, and providing program and/or event assistance. Duties may include: Compose, proofread, edit and distribute a variety of business documents and routine reports Maintain schedules and
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, plus providing reception; using electronic or manual alphabetical, numerical, or subject filing systems; using a computer to enter and retrieve information; answering a business telephone using business
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studies, science methods or literacy, educational foundations, or Indigenous theories of learning, and graduate classes in Indigenous research methods. The ideal candidate will establish a focused line of
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in at least one liaison role to a campus partner, provide clinical supervision and training for doctoral interns in the APA-accredited internship program and provide occasional afterhours work (e.g
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characterization, and functional properties of milk proteins and peptides. Our primary research goal is to understand their impact on human health. Our current projects involve developing and optimizing methods
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Experience with financial record keeping methods Experience researching and compiling financial information and preparing summaries and reports in spreadsheet software Experience managing multiple competing
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working on forage quality analysis using NIRS or wet chemistry methods Experience of using soil and water sensors and handling big data Experience with field research, experimental design, data collection