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MMF/Nexus pipeline and the stochastic Bayesian Bisous method. To improve, extend and deepen the analysis to a full dynamical inventory, a major incentive for the project is the application and
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- Stochastics International elements International guest lecturers Projects with partners in Germany and abroad Integrated internships Internships are possible. Teaching/work obligations or opportunities
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. We are looking for a self-motivated and creative researcher with a strong background in multi-objective optimization, stochastic optimization, and machine learning. Industrial experience in digital
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-scale test results translate to full-scale performance. We are looking for a self-motivated and creative researcher with a strong background in multi-objective optimization, stochastic optimization, and
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interests of the group are in the areas of combinatorial optimization, efficient algorithms, approximation algorithms, optimization under uncertainty such as online, stochastic, or robust optimization, and
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are autonomous, such that energy is globally conserved - a precious tool to deliver accurate energy balances. A parallel and more effective strategy is to exploit the framework of stochastic thermodynamics
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and analysis of stochastic models, computer simulations, differential equations, statistical inference, analysis of clinical and epidemiological data. Funding Fully-paid tuition fees for three and a
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Organisation Job description You will work within the Department of Operations in the field of Operations Research on the topic of multistage stochastic optimization problems with integer decision
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carrier and its various transport transitions stochastically. The PhD student will join the LUMIN team that is pushing the boundaries of luminescence physics. The researcher will collaborate with other team
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involve close links to experimentalists with the chance to test out results at leading XFEL facilities in Europe/USA. Outcomes will include an enhanced understanding of stochastic processes like ion hops in