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experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
attention to detail and quality; strong computer skills, including Microsoft Office suite (Outlook, Word, Excel, and PowerPoint); Internet proficiency; and knowledge of or ability to learn human resource
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supports DEI/JEDI initiatives to create a culture of belonging https://careersearch.stanford.edu/diversity . Your primary responsibilities include*: Work with the faculty, postdocs, and department
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. Applicants with experience in Bayesian modeling, spatial statistics, mathematical modeling, data integration, uncertainty quantification and/or machine learning are encouraged to apply. The postdoc will also
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
accessed using the link above. Jiawei Zhou Ph.D. The candidate will be co-mentored by Dr. Yanguang (Carter) Cao and Dr. Jiawei Zhou to advance the development of artificial intelligence/machine learning (AI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
intelligence/machine learning (AI/ML) and pharmacokinetic/pharmacodynamic (PK/PD) models that reduce reliance on animal testing and enable the quantitative evaluation of safety and efficacy for antibody and mRNA
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FieldBiological sciencesEducation LevelPhD or equivalent Specific Requirements PhD in Physics, Computational Biology, Bioinformatics, or equivalent. Knowledge of biophysics, statistical physics, machine learning
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: This project is related to machine learning for Urban Informatics. In this context, the intersection between the urban infrastructure and digital technologies plays an essential role. The aim is to develop
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. The postdoc position is for until Dec 31, 2026. The research is in the broad area of graph data management, mining, systems, and machine learning on graphs, including knowledge graphs, social and biological
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physical environments. This position focuses on research at the intersection of computer graphics, generative AI, and robotics, encompassing topics such as generative modeling, reinforcement learning, multi