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embryos, particularly at early stages of development, is highly desirable. Experience with cell culture, immunofluorescence or in situ hybridization would be considered a plus. Department Contact for
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. This position will be involved in a combined applied and methodological genetics project. This project will focus on the development and implementation of ancestry (admixture) based detection and characterization
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opportunities to collaborate across Indiana University’s aging research network. Projects are clinically motivated and span mixed methods intervention development, usability testing, implementation research, and
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laboratory activities and maintain the progression of research projects. Supervise research technicians and student employees. Participate in protocol development, data analysis and report/manuscript
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through the collaborative development, production, and characterization of AAV vectors for experimental applications. The successful candidate will work as an integral member of a team focused on designing
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institutions and National Laboratories to pursue cutting-edge scientific research. The incumbent will have the opportunity to participate in professional development activities according to their professional
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Biomedical Engineering & Informatics, and Associate Director for AI Research at the Center for Computational Biology and Bioinformatics. Dr. Duren’s research focuses on development of computational methods and
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facilities include a low-energy neutron source (LENS) available for neutron detector development and testing, high-bay facilities for large-scale fabrication, professional and student machine shops, a
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to participate in interdisciplinary active collaborations and teamwork to expand their knowledge and skillset and to exercise creativity and innovation in their research work. Your successful career development is
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experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department