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, and method development skills on protein extraction optimization, fractionation, purification, characterization, binding properties, modification, and application in food systems. Also a sloid knowledge
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the development and optimization of advanced microbiome experimental workflows such as DNA/RNA extraction from complex biological samples, library preparation for next-generation sequencing, and high-throughput
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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. The postdoctoral fellow will lead a project focused on developing optimized strategies for observing, processing, and archiving the datasets from current and future large astronomical facilities, with emphasis
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
and papers supporting the scientific case for polarized deuterons. Contribute to the design, simulation, and performance optimization of the BHCal for the EIC. Participate in the assembly, calibration
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publication record - The ability to carry out experiments independently, including troubleshooting, optimization and reporting results Create a Job Match for Similar Jobs About University of Minnesota Twin
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studies: Trauma Intervention to Optimize PrEP Among Women Who Inject Drugs (TIARAS) is a randomized controlled trial is to test the effectiveness of a trauma intervention designed to reduce HIV acquisition
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Job Description As part of our laboratory's research initiatives, we are conducting advanced research on the computational modeling and optimization of heterogeneous catalysts for various catalytic
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. Skilled in analytical methods for catalytic/separation agents materials characterization. Solid understanding of chemical kinetics principles. Key Responsibilities: Develop and optimize adsorbent catalytic
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interface between ESM and the latest version of SIESTA, its validation, its benchmarking, and its exploitation in scientific applications. Work will also involve the optimization of SIESTA on the fastest and