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Field
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engineering, with applications in energy systems and other natural and engineered networks. Additional Information: Hiring Salary: $61,800 Application materials should include: - Cover letter outlining your
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transportation networks. In particular, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for complex sociotechnical systems Strategic learning and equilibrium
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Description Job Responsibilities: 50% - Utilize graphical/network models and data integrations, including work on collaborative projects. 10% - Assist in maintaining and upgrading, as necessary, our server
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of Computer Science and Linguistics, with additional mentorship by Prof. Kevin Tobia (GU Law Center); the fellow will be an active member of the intellectual life of the lab, the Tech and Society community, and the
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from proximity to healthcare startups, biotechnology firms, and a thriving biomedical community, allowing for networking and translational research opportunities. The lab has further strong collaboration
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host interactions through network analysis, machine learning. - Ability to map microbial genes to biochemical pathway analysis - Excellence in research, communication and collaboration skills, as
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. Informal inquiries are encouraged. Applications will be reviewed continuously until the position is filled. Job Duties Our lab operates within an interdisciplinary, collaborative network at Baylor College
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conducting research, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
learning. Our previous work has demonstrated that neural networks can skillfully predict sea ice data assimilation increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757
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Participate in internal and external networks for wide-reaching broader impact Teaching, Learning, and Mentoring Supervise and provide day-to-day support, mentoring, and assistance to junior members of your