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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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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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cybersecurity and propensity and natural interest towards multidisciplinary perspectives on open problems Experience on empirical methods and statistical analysis is welcome, but not required. Ability to work in
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Russian and/or Mandarin is considered a plus. Experience on empirical methods and statistical analysis are welcome, but not required. A propensity for qualitative work supporting quantitative approaches
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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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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
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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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, Computer Science, Mathematics, Electrical Engineering, or related field. Familiarity or background in machine learning, statistical physics, optimization theory, or related areas. Proficiency in programming
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analytical skills and are proficient in multivariate statistics and quantitative modelling. You are a strong conceptual thinker, able to model complex business situations in a theory-driven model or framework