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or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine
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computer simulations, as well as prior work with food and other biomaterials. The application deadline is December 15, 2025. Interested applicants are encouraged to contact Juming Tang (jutang88@uw.edu
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(https://atomicfilmslab.org) and will work closely with the computational, device, and simulation teams, as well as with the education and mentorship teams comprising ASWESOME. This position will inform
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scalability. Publish scientific papers and present results to diverse audiences. What is Required: Ph.D. in Physics, Applied Physics, Electrical Engineering, Computer Science, or a related field. Demonstrated
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to focus their efforts on the education of students and the performance of life-changing research across a wide range of disciplines including medicine, engineering, physical sciences, energy, computer
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wildfire simulations to design and assess scenarios for risk mitigation. For Active-Frie problem domain, we seek candidates with strong background in analytical and computational methods related to physics
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AI-modeling and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize treatment plans, enhance
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and are also involved in planetary missions and climate modeling. These research projects produce large data sets and require computational analysis and visualization. Your skills will make a difference
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collaborative theoretical and computational research in quantum condensed matter physics Develop and implement high-performance scientific software, and simulation tools Publish research papers and present
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information at BNL | Benefits Program Brookhaven National Laboratory (BNL) is the building site for the Electron-Ion Collider (EIC), a one-of-a-kind nuclear physics research facility. The EIC will be a