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Field
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make extensive use of low-fidelity simulations which can provide fast but inaccurate solutions depending on the flow complexity. To close this gap, this PhD will explore machine-learning (ML) methods
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Job description The exponential increase of computational power over the last decade has enabled scale-resolving simulations (SRS) of turbulent flows at an unprecedented resolution. In combination
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enriched with additional time and scale dimensions for dynamic, space- and time-adaptive simulations. Managing this n-dimensional data efficiently is a central challenge. In your PhD research, you will
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of this PhD is to create a modular and extensible simulation infrastructure that facilitates design explorations and assessments of small applications. This simulation infrastructure will be explicitly
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of this PhD is to create a modular and extensible simulation infrastructure that facilitates design explorations and assessments of small applications. This simulation infrastructure will be explicitly
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architectural design explorations and the implementation of software development platforms. The goal of this PhD is to create a modular and extensible simulation infrastructure that facilitates design
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Vacancies PhD position in Simulation of Thermoplastic Composites Manufacturing for Aerospace Applications Key takeaways The PhD positions Press forming of thermoplastic composites Press forming is a
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Our research team invites applications for a fully-funded PhD position at the intersection of reconfigurable computing, accelerators, and simulation tools. This position aims to investigate
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a highly motivated PhD candidate with
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access the experiences, perceptions and behaviors of energy community members with smart energy technology interventions and related social dynamics. This PhD research project adopts a qualitative