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of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability theory and statistical signal processing, with applications in areas such as financial mathematics
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senior researchers and doctoral students. Current research areas within the Department of Mathematical Statistics include stochastic models, statistical theory and computational statistics, probability
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the opportunity of further development. Within the research project, the postdoctoral researcher will study pattern formation and their stability in thin-film equations, which includes mathematical modelling, well
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develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates
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results. Requirements To qualify for an employment as a postdoctor you must have a PhD degree in Mathematics or Theoretical Physics or a foreign degree equivalent to a PhD degree in Mathematics
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stability in thin-film equations, which includes mathematical modelling, well-posedness analysis, analytical bifurcation, and spectral theory. The study of related subjects and the development of new tools
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in mathematics, applied mathematics, or mathematical physics awarded no more than three years prior to the application deadline*. A solid knowledge of the geometric structure of magnetized fluid models
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The postdoc will join a world-leading research environment at the Chalmers Security & Privacy Lab as a member of the CryptoTeam . The Crypto Team currently has two faculty members and four PhD students
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interest in epidemiology and should hold a PhD in Epidemiology, Phytopathology, Mathematical modelling, or a similar subject. Candidates must have either proven expertise in theoretical epidemiology
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strengthen your application: Experience in matrix hydrodynamics and Zeitlin's model for the simulation of 2-D turbulence. What you will do Supervise master’s and/or PhD students to a certain extent Possibility