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evaluation and design of processes. To bridge the gap between the continuum world of process design and the stochastic nature of molecules, the ProMote project proposes the application of classical density
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extreme events manifest and which are the most relevant processes? Do you want to bring together deterministic modelling and stochastic classification?Then we may have the perfect opportunity for you! We
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understanding. You will be supervised by Svenja Fischer, Ryan Teuling and Claudia Brauer. Where to apply Website https://www.academictransfer.com/en/jobs/357376/phd-candidate-ml-based-predicti… Requirements
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of full-time. The research projects for the advertised position will be in the area of branching stochastic processes for phylogenetic comparative methods. This is primarily focused on fundamental
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of full-time. The research projects for the advertised position will be in the area of branching stochastic processes for phylogenetic comparative methods. This is primarily focused on fundamental
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-diffusive(-thermal-chemical) behavior of fiber-reinforced composites at the micro/meso-scale. These models will incorporate uncertainty via stochastic inputs, such as random field representations of spatially
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an optimization model, including the definition of constraints, objective functions, and solution methodologies. 2) Uncertainty Modeling: Incorporate stochastic modeling techniques to address the uncertainties
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— an interdisciplinary field spanning information theory, stochastic thermodynamics, and quantum physics — and will explore several research directions: Thermodynamic computing: Developing physics-inspired models
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computing, stochastic computing, and other emerging computing paradigms, stochastic computing, quantum computing and other emerging computing paradigms Very good skills in English speaking and writing. German
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systems. Experience with batteries, power systems, EV/aviation systems, stochastic/robust optimisation, or IGDT. How to apply: Send 1) CV, 2) transcripts, 3) a 1-page statement addressing fit and your most