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Field
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. Python, Julia, C++, R); experience with sequencing (NGS) data, geometry or graph algorithms, statistical inference or machine learning; error-correcting codes or information theory; molecular modelling
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strong connection to microscopic theory and, where appropriate, future technological opportunities. Project background The project investigates how intense ultrafast optical or Terahertz excitation can
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date
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in areas related to quantum information theory, quantum error correction, and machine learning. The position will start in fall 2026 and will be for two years, with a possible 1-year extension pending
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Systems and/or Optimization Theory. Preferred Qualifications The postdoctoral Research Associate is preferred to have experience with hardware-in-the-loop validation. The postdoctoral Research Associate is
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technical papers for publishing. 3. Investigates the feasibility of applying a wide variety of scientific principles and theories. 4. Maintains substantial knowledge of state-of-the-art principles and
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control of dynamic systems. Our work combines fundamental control theory with applications in areas such as transportation, environmental and biological systems, and electric power systems. The division
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Position Description We seek a postdoctoral associate to work at the interface of spectral theory, quantum materials, and quantum information at the Center for Computation & Technology (CCT
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Transition classroom theory into hands-on experience Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment Contribute to answers for today's
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transportation systems, new vehicle technologies, urban mobility, research at the intersection of traditional traffic flow theory and data science, the impact of cybersecurity on transportation systems, and more