16 Statistics PhD positions at Eindhoven University of Technology in phd in Netherlands
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that the Department of Mathematics and Computer Science of the Eindhoven University of Technology is opening a PhD position in Statistics. We are looking for a motivated and enthusiastic candidate with a background in
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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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a Postdoc. The consortium consists of university groups with complementary skills in fluid dynamics, statistical physics, and machine-learning techniques, and commercial partners with a strong need
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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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-design and a thorough statistical evaluation in field experiments. We will consider, among others, educational theories that focus on planning activities, such as goal-setting theory, feedback theories
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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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/continual learning with evolving data Job requirements Master’s degree in Mathematics, Statistics, Computer Science, or a related field Excellent analytical and mathematical skills Affinity with developing
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. Markov decision theory and dynamic programming) and applied probability (Bayesian statistics). Excellent coding skills (e.g., in Java, Python, Julia, MATLAB). A research-oriented attitude. Ability to be
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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