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                applications for a postdoctoral position in the Department of Astronomy at Indiana University to work with Professor Songhu Wang on the demographics, architectures, and dynamics of planetary systems in both 
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                -brain barrier research. Ideal candidates will have: 1.A PhD in the life sciences 2.A solid background in cell culture and tissue engineering approaches 3.Knowledge in Neuroscience and Stem Cell Research 4 
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                hold a PhD in an area related to mineralized tissue research. Candidates must have a sound research background in inorganic chemistry and materials science with a strong understanding of hydroxyapatite 
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                of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of research interests 
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                reproducibility of research. Program Leadership: The program is directed by Dr. Hiba J. Mustafa who is a maternal-fetal medicine specialist who is further subspecialized in Fetal Diagnosis and Therapy. She is 
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                to contribute to cutting-edge research investigating the physiological and psychological impacts of spaceflight. Our program focuses on human analog studies to simulate microgravity and explore 
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                case-by-case basis and could begin as early as November 11, 2024. Hybrid arrangements can be negotiated. Mentor Information: Edmond Ramly, PhD is an Associate Professor and the founding Program Director 
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                invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana. Basic Qualifications 1. PhD with substantial hands-on research experience 
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                leading role in the synthesis of network observations, including forest inventory data (e.g. from the USDA Forest Inventory and Analysis program) and flux tower data (e.g. from AmeriFlux and FLUXNET 
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                leading role in the synthesis of network observations, including forest inventory data (e.g. from the USDA Forest Inventory and Analysis program) and flux tower data (e.g. from AmeriFlux and FLUXNET