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, including development of new computational tools for processing large-scale biospecimen data Creation of novel machine learning frameworks for automated scientific analysis and discovery Design and
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processing, generation of cryo-EM maps and model building. The individual should have a Ph.D. and have more than 2 years of experience in cryo-EM data processing and 3D map generation. The individual will work
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. Candidates should have advanced skills in programming (e.g., R or Python) for processing and visualizing geospatial data, particularly time series of remotely sensed data, as well as ecological datasets
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STI epidemiology desired but not essential. Experience in developing networks that build intellectual community. Application Process As a first step, applicants are required to submit (1) a cover letter
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Computer Science and Electrical and Computer Engineering departments, and the School of Medicine. The group emphasizes collaborative and multidisciplinary work and brings together expertise from machine learning
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small animal surgery and imaging, mouse monitoring, euthanasia and tissue collection Tissue processing and flow cytometry Tissue culture and aseptic technique Applying for independent funding Training