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readiness and biosurveillance within the USSOUTHCOM Area of Responsibility. Developing well-researched and evidence-based policy recommendations, including cost-benefit analyses, designed to optimize resource
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to: Prepare culture supernatants and cell lysate samples for purification by ultrafiltration, dialysis, diafiltration and protein precipitation Set up, develop and optimize protein purification methods using
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techniques to investigate off-flavor compounds in water and food systems. With mentor guidance, they will develop optimized sample preparation workflows and instrumental quantification methods to enhance
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specific production environments that support bacterial pathogen survival under a variety of non-optimal growth conditions. The core research quantifies pathogen survival, competitive persistence, and niche
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have strong background in computer programming and exposure to one or more of the following skill sets are desirable: Python, R, materials optimization, design of experiments, materials structure
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approaches is helpful. An optimal research approach would benefit from proficiency in using languages such as Python, Bash, R, SQL, and UNIX shell scripting. The project goals would benefit from knowledge and
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. MMRU conducts innovative research, training, and engagement to advance understanding of how parental-child diet, nutrition, and physical activity optimize development. MMRU is co-located with
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well as circular-economy technologies that transform waste into valuable resources. This will be achieved through learning about the design and optimization of physical, chemical, and biological treatment processes
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to, big data mining, protein structure and function prediction, protein-ligand interaction, molecular modeling, molecular toxicology, workflow development, gene knockout design and optimization, and genetic
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support, helping end users optimize site-specific farm management. The participant will continue development of an existing IDS platform and support its deployment with end-users under the guidance