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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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of conduct, and a statement by the Lab Director's office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications: Ph.D. in mathematics, engineering, data/computational science
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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
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” (“Stochastic Operations Research”), consisting of one two-hour lecture per week together with associated exercise classes, preparation and administration; contribute to other courses in the area of probability