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Field
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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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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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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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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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-Year Scholar Program participants. DEPARTMENT SPECIFIC KNOWLEDGE, SKILLS, AND ABILITIES*: ¿ Familiarity with IRB processes and ethical conduct in human subject¿s research ¿ Proficiency in biomedical
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census at multiple locations, cataloguing known natural or man-made aerial objects. We will generate testable, data-driven hypotheses to characterize any novel class discovered during this census, or else
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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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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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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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for a long time and successfully discovered multiple new drug effects under this umbrella. Specifically, this position will be responsible for two projects dealing with generating signals within