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for optimizing the energy consumption, mathematical models for digital twin technology, and minimum interoperability mechanisms for streamlining the integration across devices, consumers, and technologies. You
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with colleagues at DTU and IIT Bombay, as well as with academic and industrial partners globally. The main purpose of this PhD position is to develop, implement and assess machine learning models
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College Dublin, Ireland and Northeastern University, USA. Responsibilities The PhD project involves developing a flexible vegetation model within the OpenFOAM platform, where vegetation stems
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this area. We have excellent facilities and competences for fabrication, modeling, testing and characterization of associated materials and devices. Responsibilities and qualifications The focus
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or master’s degree in engineering, or equivalent, with hands-on experience in numerical modeling and software development for structural applications, preferably wind turbine blades. Advanced programming skills
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tasks will be: Develop and apply electromagnetic modelling techniques in combination with inverse design to study light-matter interactions in dielectric nanostructured optical surfaces. Evaluate optical
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(ORR), oxygen evolution reaction (OER), and carbon dioxide (CO₂) reduction. Collaborating with theoretical research groups to guide the design of active site structures through computational modelling
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the project. Your main tasks will be: Develop and apply electromagnetic modelling techniques in combination with inverse design to study light-matter interactions in dielectric nanostructured optical surfaces
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causing these variations in A and F stars. Using asteroseismology, we aim to detect and analyze near-core and surface magnetic fields. This involves comparing theoretical models with photometric