19 phd-mathematical-modelling-population-modelling Postdoctoral positions at Indiana University
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Minimum Qualifications: · PhD in Immunology, Cancer Biology, Biomedical Engineering, or a related discipline · Demonstrated experience in mouse handling and tumor models or nanomedicine/biomedical
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The Postdoctoral Researcher will join a new interdisciplinary project developing an AI-augmented decision science platform to understand and model high-stakes human judgments. This position will be jointly mentored
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Fellowship in the area of Dental Caries and Erosive Tooth Wear. The successful candidate will be responsible for performing and the development of in-vitro models to investigate the remineralization and
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related dementias. Project Overview Leveraging newly developed brain organoid models, this project will: Utilize human iPSC lines from AD patients to develop multiple tiered brain organoid models
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an NIH-funded project aimed at elucidating the neuroendocrine mechanisms regulating aggression in a rodent model. The successful applicant will join a vibrant lab group using advanced experimental
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and animal models. Indianapolis is the capital and most populous city in the State of Indiana. It is growing economically thanks to a strong corporate base anchored by the life sciences. Indiana is home
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proteomic techniques as well as human stem cell models. The candidate must be comfortable with advanced molecular biology techniques and bioinformatics. We are seeking a self-directed, self-motivated, curious
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for data-intensive research and statistical modeling. IU Astronomy has guaranteed access to NEID, the high-precision radial-velocity spectrograph on the 3.5-m WIYN telescope, enabling powerful synergies with
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geographical focus. A PhD in Earth Science, Geology, Geophysics, or a related discipline is required by the time of appointment. The ideal candidate will bring skills in both ice-flow modeling and ice
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Vera C. Rubin Observatory’s Legacy Survey of Space and Time (LSST). We especially value candidates with strong technical skills for data-intensive research and statistical modeling. IU Astronomy has