181 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at George Washington University
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, well-being and various voluntary benefits. For program details and eligibility, please visit https://hr.gwu.edu/benefits-programs. II. JOB DETAILS Campus Location: Foggy Bottom, Washington, D.C. College
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, test your ideas, and look at ways to make the greatest impact. Here, you’ll learn how to use your skills to make an impact that ripples outward through industries and communities, elevating your career
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https://hr.gwu.edu/benefits-programs. II. JOB DETAILS Campus Location: Foggy Bottom, Washington, D.C. College/School/Department: School of Engineering and Applied Sciences (SEAS) Family Research
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benefits. For program details and eligibility, please visit https://hr.gwu.edu/benefits-programs. II. JOB DETAILS Campus Location: Foggy Bottom, Washington, D.C. College/School/Department: Academic Affairs
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interventions (e.g., digital/mobile health programs, interactive decision-support tools, tailored health communication strategies, storytelling- or narrative-based approaches, socio-emotional learning models, and
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. For more information about the Elliott School: http://elliott.gwu.edu/. This position will conduct an average of 12-15 prospect visits monthly and document– comprehensively and in a timely fashion – these
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& disability insurance, time off & leave, retirement savings, tuition, well-being and various voluntary benefits. For program details and eligibility, please visit https://hr.gwu.edu/benefits-programs. II
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sensitive and confidential information. ● Ability to work independently and as part of a team. ● Strong computer skills, including Microsoft Office Suite and Google products. Experience with Advance, Luminate
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operating procedures. Develop educational materials to support program goals and student learning. Oversee all student support systems and activities, including communication, tracking, and coordination
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Translation Use bioinformatics, statistics, data science, and machine learning to build risk models and surveillance tools that connect host immunity, microbial ecology, and pathogen transmission dynamics