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require the use of cell lines and mouse models to mechanistically determine how tumor-intrinsic and systemic metabolism impacts cancer therapy. The individual will also be expected to be excited and
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demonstrated by track record of prior publications and related accomplishments from doctoral studies. The project will require the use of cell lines and mouse models to mechanistically determine how tumor
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skills such as structural equation modeling, multilevel modeling, longitudinal data analysis, and/or categorical analysis (e.g., growth mixture modeling) using R, Mplus, and/or SAS. Preferred
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target all causal microorganisms. An integrated approach that quantifies sour rot disease risk based on within-vineyard environmental and management conditions is necessary. The successful candidate will
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health and well-being, cognitive aging and dementia, loneliness and social isolation, and integrative data analysis. Strong analytic skills such as structural equation modeling, multilevel modeling
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, United States of America [map ] Subject Area: Systems Engineering / Control Systems Salary Range: $56,484 - $80,000 (Based on Education and Experience) Appl Deadline: 2025/08/28 11:59PM (posted 2024/12/05, updated 2024
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for research manuscripts, and providing support for other lab members designing and conducting statistical analyses for research manuscripts. This position will be based in Ithaca, New York, with the potential
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providing support for other lab members designing and conducting statistical analyses for research manuscripts. This position will be based in Ithaca, New York, with the potential for remote/flexible work and
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record and record of completing projects in a timely manner ● Excellent quantitative skills, especially statistical ● Experience processing, manipulating, and modeling data ● Demonstrated proficiency with
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, characterization, and modeling of metamaterial fibers and textiles. Develop and optimize fabrication processes for fibers and textiles. Conduct optical characterization of the developed materials and analyze