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focused on advanced tissue imaging for diagnostic and intraoperative applications. The successful candidate will work on federally funded projects aimed at developing and applying novel microscopy platforms
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contribute to the excellence of our academic community. Development and application of advanced magnetic resonance imaging acquisition and analysis techniques. Develop and apply image acquisition and analyses
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contribute to the excellence of our academic community. Supervised by the PI, the individual will be expected to develop and collaborate on a series of cutting-edge radiochemistry and CNS-targeted imaging
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contribute to the excellence of our academic community. The qualified individual will work in a molecular imaging and nanomedicine laboratory on the NIH funded project to prepare surface functionalized
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paper and grant writing, and internal and external presentations. Maintain full and clear records of experimental data and code. Mentor junior scientists. MINIMUM QUALIFICATIONS: A doctoral degree or
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QUALIFICATIONS: - PhD in Ecology and Evolution, Virology, Bioinformatics, Computer Science or a related discipline - Demonstrated interest in computational analysis of biological data - Advanced coding skills
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Fluorescence, FRET, & single‑molecule microscopy Mechanobiology, force-spectroscopy Bioconjugation chemistry, nucleic‑acid chemistry Quantitative image analysis, MATLAB/Python scripting, or machine learning
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imaging (Confocal microscopy) Molecular biology A publication record and a strong background in human cell culture, CRISPR or proximity labelling will be preferred. Prior experience in RNA or R-loop biology