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to, atmospheric science, environmental engineering, earth observation, and computer science. Strong programming skills and experience with machine learning applications in geoscience are highly desirable
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single cell transcriptomic data. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including
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at the intersection of active transportation safety and AI (e.g., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision
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agency standards. Develop and maintain protocols for tissue preparation and multiplexed imaging workflows. Assist in developing novel analytical pipelines or work with computational scientists to interpret
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Applicable Driver's License: A driver's license is not required for this position. More About This Job Preferred Qualifications: A PhD in microbiology, computational biology, or a related discipline involving
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of proteomics with genetic data via MR, coloc and FUSION to identify causal and druggable targets. Working Conditions: This position will be located at Dr. Cruchaga’s lab in the NeuroGenomics and Informatics
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Location ST. LOUIS, MO 63108 Position Summary The Mass Spectrometry Technology Access Center (MTAC) at WashU Medicine in St. Louis is seeking highly motivated applicants for a postdoctoral position with an immediate start date. The MTAC is a recharge facility within the McDonnell Genome...
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Location ST. LOUIS, MO 63108 Position Summary WashU Medicine, Department of Neurology, has an opening for a Postdoctoral Research Associate to join the NeuroGenomics and Informatics Center (NGI
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. Eisenberg about also applying for the Biological Mechanisms of Healthy Aging Training Program (https://halo.dlmp.uw.edu/bmha/post-doctoral-openings/). The position is 100% FTE for 12 months. Benefits such as
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an interdisciplinary translational imaging program involving molecular oncologists, cancer biologists, computational biologists, and imaging scientists focused on detecting breast cancer and predicting response