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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 9 days ago
investigations focused on spin dynamics, · Perform numerical simulations to study: - ultrafast magnetization phenomena, - interactions with surface acoustic waves, - propagation of sound waves in the presence of a
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39133 Job Number SE179024 Position Information Department or Unit Name Fowler School
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optical and photoacoustic nanoscopy methods for biomedical applications and study of underlying physical phenomena Experimental and numerical study of light-sound-matter interactions Participation in
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, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods, including, but not restricted to, geometry or shape
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datasets (e.g. ground-based radar measurements and weather station data) Contribute to the development and application of numerical models Assess uncertainties for future sea-level projections Publish
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Context Statement Position Overview A postdoctoral position is available in the Department of Physics at the University of Idaho. The primary focus of this position is advancing numerical relativity methods
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Ordinance nr. 33/2019, of January, 25th. It is mandatory to present the certificate to sign the contract. More information is available on: https://www.dges.gov.pt/pt/pagina/reconhecimento Workplan and the
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international university of similar standing, either in social anthropology or a closely related discipline. You have a genuine interest in empirical research that draws on the theories and methods of social
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Functional Theory (DFT) Familiarity with artificial intelligence methods Good knowledge of electronic structure methods Experience with Linux, Git and related tools Knowledge in the field of high-performance
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complementary data from other Mars missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run