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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in data processing and analysis. Present novel discoveries at international conferences. Publish
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in infant data processing and analysis. Present novel discoveries at international conferences
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prototype device into a minimum-viable-product that can be utilized in hospitals and clinics. The postdoc will assist the laboratory in equipping the current prototype device with new features and
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, Education, qualifications and experience PhD in a relevant field such as plant sciences, computational biology, or bioengineering with a focus on image analysis. Proven experience with image processing
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behavior assays, CNS trauma surgery, viral vector production, imaging, genomics, and biochemical assays. Qualified candidates are encouraged to apply via this posting and include a current CV including names
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control for iPSC lines. • Establish and optimize experimental protocols and analytic pipelines for assays (e.g., imaging-based biomarker assays, metabolic flux assays), multiomics profiling, and
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casualty care. These projects include closed loop physiological controller development, creating in silico computer models for mimicking human physiology in trauma, and automating ultrasound image
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assays High-resolution cell imaging and microscopy Data analysis and integrative computational approaches This combination of expertise will prepare you for an independent academic career or leadership
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transcriptomics and bioimaging to study human liver biopsies and advanced, preclinical models. A combination of wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
field such as Earth Science, Data Science, Computer Science, Remote Sensing, Environmental Science, Statistics, or a related discipline. Technical Skills: Machine Learning & Deep Learning: Demonstrated