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Universiteit Amsterdam welcomes applications for a two-year Postdoctoral position in Reinforcement Learning for Stochastic Optimization. The candidate is expected to conduct high-quality research
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time scales. To do this, we will build on a landscape picture of stochastic gene expression dynamics inferred from data using modern machine learning techniques. The results will inform us about how
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understand, explain and advance society and environment we live in. Your role Research in the general domain of stochastic analysis, with special focus on stochastic geometry, such as random fields, random
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physics, stochastic processes, statistical inference, and epidemiology, with SARS-CoV-2 and influenza as key case studies. Your job In this project, you will develop a quantitative theory of evolution
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Institute in Artificial Intelligence) ecosystem, which fosters cutting-edge research in artificial intelligence and its applications, providing a stimulating environment at the interface of stochastic
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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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the research activities entrusted to the officer take place: This ANR project lies at the interface between statistical learning (mainly deep learning) and combinatorial optimization (mainly stochastic and
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the presence of environmental noise with spatio-temporal correlation. Where to apply Website https://www.ucm.es/personal-contratado-de-actividades-cientifico-tecnicas-pli-u… Requirements Research
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optimization-based updates (e.g., stochastic gradient methods and Bayesian learning), Probabilistic performance guarantees, leveraging tools from stochastic systems, RKHS-based learning, and Bayesian inference
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related to staff position within a Research Infrastructure? No Offer Description Mission: Model and simulate Langevin equations applied to ion channels. Functions to be developed: Implement stochastic