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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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experiments, and analyzing the resultant data using statistical analysis techniques? Then we are looking for you to support our research team in the prestigious project HybridLabs: Accelerating Dutch
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(https://www.tue.nl/en/research/research-groups/mathematics/statistics-probability-and-operations-research/combinatorial-optimization-1 ) of the department of Mathematics and Computer Science of TU/e. Your
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background and interest in cybersecurity and propensity and natural interest towards multidisciplinary perspectives on open problems Experience in empirical methods and statistical analysis is welcome, but not
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methods and statistical analysis are welcome, but not required. A propensity for qualitative work supporting quantitative approaches, and an interest in human factors and technology are considered a strong
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on creative thinking, motivation, ability to cooperate, initiative to work independently and personal suitability for research training. You will need to combine expertise of statistical signal processing, data
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the sizes of such disruptions are heavy-tailed, as this implies that the probability of large-scale failures or congestion is substantially higher than conventional statistical laws might suggest, and that
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with hardware architecture, FPGA, and system-level simulation is desirable. A good theoretical understanding of statistics and machine learning theory. Strong analytical skills and proficiency in
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, game theory, statistics, and/or applied probability. Excellent coding skills (e.g., in Java, Python, Julia, MATLAB). A research-oriented attitude. Ability to be self-propelling and drive your own
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status. The obtained models will be translated into coupling maps. To identify statistical tools best suited to highlight changes in coupling maps as pregnancy progresses over time and between healthy and