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will focus on: Modelling the statistics of induced seismicity. Modelling the spatial distribution of seismicity. Benzi, R., Kumar, P., Toschi, F., & Trampert, J. (2016). Earthquake statistics and plastic
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work in a consortium consisting of university groups with complementary skills in fluid dynamics and statistical physics (Fluids and Flows, TU/e) and machine-learning techniques (AMLab, UvA), and
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experimental research, including knowledge of and demonstrable experience with applying (state-of-the-art) statistical techniques. Experience with data wrangling (e.g., in R or Phyton). Open-minded and motivated
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statistics). Excellent coding skills (e.g., in Java, Python, Julia, MATLAB). A research-oriented attitude. Ability to be self-propelling and drive your own research. Ability to work in an interdisciplinary
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of reverberation chambers. This is why most modeling for reverberation chambers is rooted in stochastics and statistics, yet the disadvantage of such an approach is that the underlying assumptions are only weakly
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why most modeling for reverberation chambers is rooted in stochastics and statistics, yet the disadvantage of such an approach is that the underlying assumptions are only weakly underpinned by a