158 algorithm-phd-"Prof"-"Washington-University-in-St"-"Prof" positions at Princeton University
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necessary. Applicants who are interested in DA research and development should have a strong background in using DA systems (such as GSI or JEDI) and a strong understanding of the data sets and algorithms
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, including quantum information theory, quantum algorithms, quantum error correction, quantum systems theory, and fundamental quantum science. Candidates should have a commitment to teaching and a demonstrated
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education institution. - Demonstrated experience in social media including Facebook, Twitter, Instagram, YouTube, LinkedIn, and TikTok as well as excellent understanding of algorithms and platform best
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, statistics, data analysis, and algorithms of computational research questions through independent research, studying existing code bases, and staying current with publications. Build awareness of software
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, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with optimization (theory, modeling, and tools
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. Christopher Emrich at the University of Central Florida. The appointment will be through Princeton's School of Public and International Affairs. The research position requires a PhD in a relevant field (e.g
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and contribute to a range of exciting collaborative projects and develop new projects. PhD in a relevant field is required. Strong track record of productivity is essential. Experience with biological
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opportunity to participate in teaching activities (e.g. for students in the new Bioengineering PhD program), including the design of custom microscopy setups for specific imaging applications. This position
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researchers at Princeton and other institutions, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with
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AI4Science topics. The Computational Sciences Department at PPPL was formed to provide a focus for computational physics and engineering. We specialize in algorithms and applied mathematics, data science and