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Explore and develop scalable machine learning methods for aerospace structures' design and manufacturing This postdoctoral research aims at exploring statistical methods that enable the data-driven
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Are you inspired by designing integrated circuits? Are you fascinated by new technologies to build electronics? Are you our next EngD trainee in flexible electronics? Are you eager to work
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Large-language models (LLMs) have impressive capabilities, such as automatically generating code, writing poetry, or summarizing text; but can they be used to automate the design of mechanical
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for innovation in process design and operation. We aim to establish a stable and feasible process that maximizes water recovery from desalination while minimizing environmental impact and operational complexities
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) and hinders that individuals can apply effective strategies when forming and maintaining beneficial habits. We plan to use qualitative interviews, longitudinal designs (potentially using existing
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. You will collaborate with the existing team and will design, (micro)fabricate, and test a microfluidic system to validate the MAC pump. In addition, your project will involve simulation, flow
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with public and private partners on designing a digital platform to support making Cargo Logistics more sustainable (See project lead website ). As a PhD candidate, you will create mathematical and
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) designs and their driving behavior are anticipated to provoke motion sickness and discomfort, impeding passengers' ability to enjoy their commute time. Despite substantial investments in AV technology, the
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to make surface and subsurface soil moisture maps. Survey design for nano-satellite formation flight and ground-based receiving antennas will allow for the ability to compute data-driven wave propagation
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for pharmaceutical applications. This project is highly collaborative and has a focus to bring the developed technology to the market. You will collaborate with the existing team and will design, (micro