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Field
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statistical inference. More specifically the recruited PhD student will consider variational inference approaches for GEA and stochastic optimization to speed up the inference, with the objective of scaling up
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interested in artificial intelligence and machine learning, and do you want to develop new mathematics with a positive impact? The stochastics group of the Korteweg-de Vries Institute for Mathematics
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industrial-market applications where complex analog/RF blocks play a decisive role. The increased design complexity due to spatial stochastic and temporal deterministic unreliability effects, and also
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the candidate will develop an innovative approach to renewable energy system modelling (based on stochastic optimization), develop scenarios of the energy transition, conduct policy analyses and
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of Michigan) Job Duties Develop multiscale ABMs of multi-cellular immune cell populations and virus interactions. Build organism-scale ODE/PDE/stochastic models based on ABM outputs and experimental data
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machine learning for next-generation wireless networks, (ii) Foundations of semantic communications and age of information, (iii) Stochastic geometry and spatial modeling of large-scale wireless systems
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and beyond; VHE) and producing multimessenger signals (e.g. photons and neutrinos). Indeed, the pervasive turbulence can ensure efficient stochastic particle acceleration, while the ambient backgrounds
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, as well as methods of parameter estimation and stochastic modelling experience in analysing processes interlinking solid Earth and ice sheet would be an asset excellent problem-solving skills and
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project