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Field
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Job Description If you are passionate about data analytics, numerical modelling and marine research, we have an opportunity for you! DTU Aqua invites applications for a two-year postdoctoral
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analysis Document and test existing codes Adopt scientific codes for different scientific problems Conduct scientific research in the field of space physics Write manuscripts for publication in peer-reviewed
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information here ! PURPOSE This position is created to help the faculty and the school to work on solid/fluid dynamics and geomechanics modeling and numerical simulations. DESCRIPTION Functional Area 1
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reactors; analyze the multi-physics aspects of nuclear fission/fusion reactors including neutronics, thermal-hydraulics, structural mechanics, and fuel behavior. Activities may involve reactor analysis
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calculations, reactive empirical force fields, chemical dynamics, deep learning and numerical algorithms, data analysis, experimental characterization and imaging. Our research has involved methodology and
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develop and analyze a hierarchy of numerical modeling simulations to advance process-level understanding towards the goal of formalizing and quantifying the contribution of the land surface – and its
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temporal properties: ultrabroadband supercontinua, intense sub-cycle field transients, and few-femtosecond ultraviolet pulses, among many others. We combine numerical modelling with experiments to study the
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Requirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied
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on their research and innovation campus. Required Qualifications - PhD and/or MD in Computational Biology, Bioinformatics, Genomics, Biology, Data Science, Computer science or other related fields. PhD must be
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analysis of atmospheric numerical model output (e.g., WRF, PALM, SAM) Experience with machine learning and artificial intelligence techniques Experience with predictive modeling Environmental, Health