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Field
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, including reinforcement learning and multiobjective stochastic optimisation. These methods will be applied to cooling solutions at the building, district, and city scale, where innovative and energy-efficient
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particle systems, and mixing times of Markov chains, random graphs and trees, random matrix theory, stochastic and Lévy processes in infinite-dimensional spaces, free probability, random sphere packings in
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chains, random graphs and trees, random matrix theory, stochastic and Lévy processes in infinite-dimensional spaces, free probability, random sphere packings in high dimensions. About the role You will
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candidate will have in-depth knowledge of how to address relevant biological problems using analytical methods from the fields of differential equations and/or stochastic processes, as well as computational
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processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from investigating fundamental properties
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evidenced by a strong publication record in one or more of the following areas: random matrix theory, stochastic processes, neural networks, machine learning, and sparse data structures • Proficiency in
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 2 months ago
research in applied topology, including topological data analysis, stochastic topology, network analysis and computational topology techniques —with a view towards open problems in the life sciences
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/functional inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and
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to postdoctoral mentorship and supports independent career development for successful candidates. For Pre-Fire domain, we seek candidates with strong background in engineering risk, reliability, and stochastic
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Doctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from