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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 13 days ago
-scale neuroimaging datasets. Responsibilities for this position includes: * Developing deep-learning approaches for insight and analysis about mouse behavior from video * Machine Learning: use your
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. For positions in Applied Mathematics: Applicants are required to have a Ph.D. in Applied Mathematics, Mathematics, Control, Operations Research, Statistics, or a related field. Experience in numerical analysis
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Description The Smart Materials Lab (Panče Naumov Group) in the Division of Science and Mathematics, New York University Abu Dhabi, seeks to recruit a post-doctoral associate to work on crystal
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responsibilities. Responsibilities: The postdoc will work on integrating multiple observational data streams for real-time and retrospective analysis of geophysical and environmental hazards. This includes
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engineering, hydrology, computational sciences, systems modeling, applied mathematics, or a related field. Preferred Qualifications: Demonstrated expertise in quantitative modeling and data analysis
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record in theoretical and/or computational mechanics Knowledge, Skills, and Abilities Excellent analytical and mathematical skills Proficiency in numerical analysis using finite element method (FEM
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Description The Research Center on Stability, Instability and Turbulence (SITE) a center of the Research Institute, New York University Abu Dhabi, seeks to recruit a Post-Doctoral Associate to work
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-studies have shown that full automation is possible in principle when formally verifying systems using reachability analysis. However, our pre-studies also showed that further research is needed
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characterization (e.g. XRD, AFM) Design and prepare samples for NV microscopy measurements Work closely with and supervise PhD researchers on experiments and data interpretation Explore and implement biocompatible
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profiling. More broadly, this work aims to establish a new experimental framework for spatial multi-omic analysis that complements existing spatial transcriptomics technologies. Responsibilities