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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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conducting research, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating universitywide, RBHS includes eight schools, a behavioral health network, and
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Research Schools Network (ORSN). Each of these units has tremendous capacity and impact through cutting-edge scholarship, leading personnel preparation programs, state-of-the-art technical assistance 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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: Measuring the dynamic impact of personal social networks on language learning outcomes (NSF-2341628) led by Dr. Eleonora Rossi in the Department of Linguistics, together with an interdisciplinary team of co
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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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career development activities including mentoring students and grant writing, and Participate in the Network Science Institute community by organizing talks, attending workshops, and contributing
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of Epidemiology and Community Health, and Director of the Minnesota Population Center, to conduct population health research. The candidate will be housed within the vibrant intellectual research environment
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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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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