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highly interdisciplinary, integrating big data analysis, state-of-the-art machine learning models, mathematical modeling, and systems biology to elucidate the mechanisms of drug interactions in complex
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), and cell free methods. Key Responsibilities: Development and optimization of vector constructs and expression condition characterization of protein yields and quality, and large-scale protein production
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, understanding of population, community, and organismal ecology. Work with "big data" analysis, experience with wetlands and fisheries data specific to the Texas Coast, experience working with non-profits and
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Institute (CVRTI), is seeking a motivated postdoctoral fellow to work on projects that bridge from basic cell biology to small and large animal model systems. The focus of the lab is GJA1-20k with application
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Position Description: Every day, in ways both big and small, the Medical College of Wisconsin (MCW) is impacting lives for the better. MCW … changemaking for a healthier Wisconsin. As a Postdoctoral
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informatics and signal processing. Experience with large volumes of physiological and temporal medical data and time series analytics are essential. Strong programming skills in Python and modern machine
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personalized medicine. By integrating human cohorts, single-cell multi-omics technologies, and expertise in systems and computational biology, we generate high-profile research that bridges big data with
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data and report clearly on the study’s findings. Able and willing to move large animals to and from the operating room table Responsibilities: Design, perform, and analyze data experiments pertaining
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disease with a focus on Alzheimer’s Disease. Computational models will be developed that utilize data obtained from a wide range of experiments, from basic biochemical methods to advanced imaging techniques
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: • Expertise in metabolic research. • Experience with in vivo mouse models. • Proficiency in bioinformatics, proteomics, metabolomics, or other large-scale data analysis. • A track record of presenting