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of Excellence in Research and Innovation, the successful candidate will work at the intersection of data science, blockchain technology, and financial crime prevention, performing the following tasks: Conduct and
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. This production does not involve any catalysts such as light or heat. It is an intrinsic property of the air/water interface, and therefore potentially ubiquitous in the troposphere. This PhD project aims
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datasets, including mass-spectrometry and DNA-sequencing datasets. Proficiency in Python or another general-purpose programming language and experience with high-performance computing. Publications in peer
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National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 5 hours ago
Intercomparison and Improvement Project, AgMIP), the integration of remotely-sensed information for the monitoring and forecast of extreme event impacts, and the use of high-performance computational resources
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high gluon density as well as photon-photon interactions. Our group has responsibility for the current CMS Zero Degree Calorimeters as well as the construction of new ZDC for the high luminosity LHC
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temperatures, cryogenic thermometry, high magnetic fields, and cryogenic scanning probe microscopy to probe and control heat and charge flow in quantum materials. About the Project As part of the project “Low
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financial crime prevention, performing the following tasks: Conduct and supervise cutting-edge interdisciplinary research building on the analysis of large-scale blockchain data. This will include, but is not
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, high-performance computing (HPC), dimensionality reduction, and machine learning. Your responsibilities will include publishing research in leading conferences and journals, contributing to grant
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given the opportunity to work collaboratively with a high performing team with increasing capability and capacity expanding research areas to double junctions and triple junctions tandeming perovskites
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Science, Computer Science, Applied Mathematics, Engineering and Physics. Additional Qualifications Expertise (or desire to work) in reduced order modeling, Causal inference and High Performance Computing