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electronic health record (EHR) data; apply ML methods (especially deep learning methods) to solve critical medical problems. Implement methods into software that meets research needs, manage and update source
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at the LPC to make major contributions to CMS in the areas of physics analysis, object identification, software development, detector operations, or detector instrumentation development and construction
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information entered by an employer from an employee’s Form I-9, Employment Eligibility Verification, to records available to the U.S. Department of Homeland Security and the Social Security Administration
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monitoring of the quality of the incoming data and providing feedback to the concussion team, and processing of data for eye trace extraction from SLO videos using C. Light software and Rossi Lab software
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astronomy. We develop and operate commercial-quality, cloud-based software application and platform services used by 10s of thousands of researchers to manage their large–and growing–data management
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publications in simulations of biomolecular systems and MD simulation software. Preferred Qualifications: The candidates should hold a Ph.D. in chemical engineering, chemistry, biochemistry, structural biology
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Observatory project and the Metamaterial Laboratory, and contribute to the department’s experimental CMB program. The person hired will be responsible for development of hardware, software, and analysis
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are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including
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patients with mood disorders, including familiarity with clinical assessments (e.g., K-SADS, SCID) Computing and software skills in multiple platforms are helpful as well as familiarity with statistical
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(e.g., Public Health, Medicine, Global Health, Respiratory Medicine). Strong background in epidemiology, clinical research, or biomedical sciences. Proficiency with data analysis and statistical software