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through advances in statistical and mathematical AI and ML theory and algorithms. Examples of topics of interest include: statistically-principled methods for uncertainty quantification; operator learning
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in healthy states, genetically perturbed states, and during liver regeneration. On the other hand, you will develop algorithms to disentangle direct intercellular signals from those that are induced
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/or observationally motivated model-building for SMBH feeding and feedback. The group integrates observations, theory, data analysis, algorithm development, model-building, and numerical simulations
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Classification Title: AST/ASO/FULL PROF Classification Minimum Requirements: Ph.D. degree in Computer Science/Engineering, or a closely related discipline. Job Description: The Herbert Wertheim
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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challenge meeting this requirement is the simultaneous need for low-power consumption. The main objective of the project is to develop a complete end-to-end high-performance DNN system for on-premise
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: 278212820 Department Schl of Public & Int'l Affairs Category Research and Laboratory Job Type Full-Time Overview Based in Princeton's School of Public International Affairs and under the direction of Prof
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comprises four faculty (Profs. Chang, Konigsberg, Korytov, and Takahashi), five postdocs, five graduate students, and a group of engineers and technical personnel — making us one of the largest U.S
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Based in Princeton’s School of Public & International Affairs and under the direction of Prof. Atif Mian , the Julis-Rabinowitz Center for Public Policy & Finance (JRCPPF) promotes research and
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, which will be funded and mentored by Prof. Joseph Byrnes. The primary project will be an NSF-funded collaboration with Ryan Porter and Jim Gaherty at Northern Arizona University to investigate