47 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" Postdoctoral positions at University of Washington
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models to simulate lifeless and inhabited worlds, and Developing disequilibrium-, redox-, and information-based metrics to understand and quantify the influence of life on planetary environments
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the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D urban structure
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under the supervision of Prof. Edward Marti including (but not limited to) the following activities: Build and optimize ultrasound rigs and imaging of neonatal and adult rodents (mice and rats). Develop
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on developing advanced new algorithms, testing and validation, and applications in medical neuroimaging and non-imaging modalities. The candidate will contribute to the overall research goals and objectives
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laboratory, which focuses on developing optical spectroscopy and imaging tools to solve global problems in reproductive health. The successful candidate will have the opportunity to work with a
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learn advanced instrumentation, 3D data analysis, and AI methods in close collaboration with engineers and physicists. We work closely with lab members to develop the skills, confidence, and creativity
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Preferred Qualifications: Experience with one or more of the following: Building novel 3D and super-resolution ultrasound systems. Developing deep learning algorithms for 3D biological data. Designing and
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of neuronal loss to better understand why neurons die or axons are damaged to ultimately establish new strategies for the preservation or restoration of neural tissue. We use multiple approaches, but focus
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development. • Genotype-Phenotype Correlations in 9p-Related Syndromes: Investigating the genotype-phenotype correlations in 9p-related syndromes (e.g., 9p deletion syndrome, 9p duplication syndrome
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Position Summary The Cruchaga lab at WashU Medicine is recruiting multiple Postdoctoral Research Associates. The Cruchaga lab generates and analyzes high-throughput multi-omic data to study