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research on the development of new inference methods and algorithms for wide classes of stochastic models. However, research will be conducted in collaboration with biologically oriented researches allowing
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). Completed courses in signal processing, radar or communication systems. Communication skills in Swedish are valuable, but not required. What you will do Develop radar signal processing and algorithms
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the world, ii) developing AI+Physics end-to-end reconstruction algorithms that will enable a new regime of spatiotemporal hierarchical characterization. The project is mainly computational with
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Do you want to contribute to groundbreaking research in the development of a theoretical framework and numerical algorithms for evolving stochastic manifolds? This is an exciting opportunity for a
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and significant piece of information to the right point of computation (or actuation) at the correct moment in time. To address this challenge, you will focus on developing theoretical and algorithmic
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, system-wide efficient, as well as fair for heterogeneous participants. Addressing these challenges requires new mathematical models and algorithms that blend optimization, game theory, and control with
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meshing and refinement algorithms that support hierarchical levels of detail. The theoretical component includes convergence and error bounds for refinement, conditions for topological validity, robustness
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knowledge of C++ in relation to scientific software. You have acquired one of the two following skill sets (both is a strong merit): Previously conducted implementations of algorithms and simulations using
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knowledge of collaborative software tools, and experience with the implementation of data acquisition or analysis algorithms You have a good track record of published articles in peer reviewed journals
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-exploiting optimization algorithms will be used to improve the performance of the numerical methods also for this class of problems. As postdoc, you will principally carry out research. A certain amount of