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Field
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an interdisciplinary team across multiple institutions and who understands the level of detail needed to develop predictive models for in vitro to in vivo extrapolation and chemical risk assessment. Our team’s long
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York
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on historical firearms use and regulations across multiple regions, contribute to a field guide and database of empirical findings, and participate in the writing and sharing of research papers in regular
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energy-related research challenges in the Greater Permian Basin region. This position will support the State of Texas Advanced Resource Recovery (STARR) program at the Bureau of Economic Geology (BEG
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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internationally. The successful candidate will be based at the Centre for Private Governance (CEPRI). CEPRI is a dynamic research centre with multiple ongoing international and national research projects, and a
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laboratory experimental experience. · You have programming experience, knowledge of Python and Git is a plus. · You have a proven ability to write high-quality scientific papers. Language
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/field personnel in research. Initial studies will focus on burn wounds, improving healing and assessing multiple wound factors using imaging and sensors. What you need to know Salary: Compensation will be