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Field
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modeling and simulation tools DESIRED QUALIFICATIONS: Experience using NONMEM, R, Monolix and/or other platforms for analysis of clinical and/or preclinical pharmacology data; development of web-based tools
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Associate will contribute to ongoing projects and have the opportunity to develop independent research aligned with the aims of the ADN lab. Current work focuses on machine learning and multivariate decoding
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biochemical methods will be used to investigate how these motor proteins convert the energy from ATP hydrolysis into mechanical work in order to promote pre-ribosomal folding. The assays developed will be used
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well as strong quantitative and programming skills. Experience with virtual reality development, machine learning, or advanced data analyses and modeling are highly desirable. Position Status Full Time Posting
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of all research projects, NJ-STEP director and the self study faculty lead, as well as other team members will participate in the decision-making process for developing the final design of the analyses
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located at the MU Bond Life Sciences Center and focuses research on emerging and re-emerging infectious diseases, especially influenza viruses and SARS-COV-2, by developing and applying integrated, multi
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creating web-based pedagogical tools for secondary and college educators. Primary Duties and Responsibilities 1. Develop, plan and prepare lessons, training guides, and materials for a series of three
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, social network analysis. Experience developing software prototypes using python, JavaScript/node.js, modern reactive web frameworks, visualisation technologies (e.g. SVG, D3.js). Experience designing
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. Conduct research on RNA-targeting type VI CRISPR-Cas systems. 15 % 2. Analyze research data and prepare manuscripts for publication. 15 % 3. Mentor and train undergraduate students in the lab. 5% 4. Prepare
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, passionate about applying advanced technologies to sustainable manufacturing. About the Role You will play a key role in research, development, and integration within the Circular Robot 5.0 consortium