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conduct collaborative research at the intersection of non-canonical kinetic theory, non-conventional plasma turbulence modeling, high-speed flows, scientific machine learning for multi-physics problems
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 22 hours ago
cutting-edge machine (deep) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from
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- Postdoctoral Researcher in Spatial Data Science Benguerir, Morocco (MA) COLCOM - Postdoctoral Fellow in Machine Learning Benguerir, Morocco (MA) Junior Research Scientist in the (CIDSAI) - Dr. Farah Shamout and Dr. Hanan Salam Abu Dhabi, United Arab Emirates
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will be responsible for designing and implementing physics-informed machine learning strategies for identifying constitutive laws in granular media. This includes the development of thermodynamically
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, and/or machine learning approaches for prediction and causal inference—to study policy-relevant questions in development, labor, mental health, or related fields. We seek a postdoctoral scholar who
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Challenge grant. The successful candidate will work closely with the Principal Investigators (PIs) to develop and implement innovative research integrating machine learning, computer vision, and
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, statistical mechanics and enhanced sampling, and machine learning for chemistry and materials science. For more information about the research agenda of ICC, see: https://www.simonsfoundation.org/flatiron
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. POSITION SPECIFICS Postdoctoral Scholar of Machine Learning and Statistical Genomics Description: The Department of Public Health Sciences is seeking a postdoctoral scholar. The overall goal is to
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. POSITION SPECIFICS Postdoctoral Scholar of Machine Learning and Statistical Genomics Description: The Department of Public Health Sciences is seeking a postdoctoral scholar. The overall goal is to
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geometry, number theory, data. * Qin Li: Scientific computing, machine learning, inverse problems. * Hanbaek Lyu: Combinatorics, probability, optimization, and machine learning. * Laurentiu Maxim