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Field
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, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. * Conducting bioinformatics and statistical analyses of high-throughput omics data
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leading to production and harvesting in the regulated countries moving to unregulated countries. The position is part of a joint research program between Swedish University of Agricultural Sciences (SLU
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funding, and deliver on multiple projects carried out in one of the most dynamic groups in food science at Aahrus University. You will have many opportunities to connect with other research partners, and
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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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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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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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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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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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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