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, Denmark [map ] Subject Areas: Nonparametric estimation, Machine learning methods in econometrics and time series analysis, Statistics for high-dimensional data, Stochastic volatility models Appl Deadline
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the start date. This position is part of the research project “Numerical Analysis of Stochastic TRANsport” (NASTRAN), funded by the Research Council of Norway. The project’s goal is to develop mathematical
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Description The Berlin Mathematical School is the graduate school of the Cluster of Excellence MATH+ ( http://www.mathplus.de ) and a joint endeavor of the mathematics departments
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, scientific computation, probability, optimal control, ordinary, partial, and stochastic differential equations, and dynamical systems; and applications of mathematics to biology, finance, and industrial
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possibility for negotiation). In this post you are expected to: teach (in English) the course “Stochastische Besliskunde” (“Stochastic Operations Research”), consisting of one two-hour lecture per week together
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the light of the experiments. - Stochastic simulation of a noisy dynamics associated with the ODE. - Reiteration and redesign of the experimental part. Related activities : Writing reports in form
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the fields of differential equations and/or stochastic processes, as well as computational approaches and/or statistical methods of data analysis. You can find more information about our research area and our
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academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical
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for machine learning, with research topics ranging from decentralized and federated optimization, adaptive stochastic algorithms, and generalization in deep learning, to robustness, privacy, and security
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one or more of the following topics: Computationally intensive methods in Statistics such as Count Time Series, Curve estimation, Environmental Statistics, Forensic Statistics, Stochastic Modelling