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Field
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environments. Collaborate with multidisciplinary teams to optimize material–device interfaces and sensor architecture. Assist in the prototyping of sensor devices and contribute to the optimization
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optimization of a personalized cooling system by simulating various geometries, materials, and thermoelectric module configurations using COMSOL. • Develop and execute parametric studies to evaluate system
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deployment. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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monitoring of compound uptake into P. aeruginosa to guide the optimization process. The project is part of an interdisciplinary collaboration between research groups across several European countries and
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covalent and non-covalent inhibitors and will implement early monitoring of compound uptake into P. aeruginosa to guide the optimization process. The project is part of an interdisciplinary collaboration
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interaction for optimal diagnostic interpretation is stressed. The program historically has had a well-defined core of responsibilities outlined for the fellow and has also allowed considerable flexibility
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optimization. The role offers an excellent opportunity to work alongside interdisciplinary teams and industry partners, and to contribute to real-world impact in the growing field of electric mobility
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members on IntelliCage operations. Lead behavioral studies using IntelliCage to assess functional outcomes. Establish and optimize injury paradigms (e.g., TBI, CRCI) and therapeutic timelines. Collaborate
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of innovative hardware solutions, including harmonic mitigation and thermal optimization. The role offers an excellent opportunity to work alongside interdisciplinary teams and industry partners, and to
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with chemists and materials scientists is essential to ensure that the developed methods make optimal use of domain expertise and integrate fully into “human in the loop” workflows. This post is