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for optimizing metals microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM
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for optimizing metals microstructures in-situ during the AM process as well as ex-situ during post-AM treatments and enable predictions of the microstructural evolution, and thus changes in properties, while AM
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offshore wind OEM—invites applications for a fully funded PhD position on the “Development and Implementation of an Autonomous Decision Support System for Optimized Maintenance in Wind Turbine Infrastructure
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energy to carry out research, development, and testing of novel solutions in the production of large structures, such as buildings, ships and offshore platforms. LSP is closely working together
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and Northeastern University, USA. Responsibilities The PhD project involves developing a flexible vegetation model within the OpenFOAM platform, where vegetation stems are represented as nonlinear
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Development (CED) intends to contribute to the research-based development of university science education. We acknowledge that it can be difficult to start as a PhD fellow and succeed in this field without a
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). Based on experimental findings, we want to quantify the evolution of concrete stiffness and the development of internal stresses resulting from inherent material deformations, external loading, and