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Field
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the research activities entrusted to the officer take place: This ANR project lies at the interface between statistical learning (mainly deep learning) and combinatorial optimization (mainly stochastic and
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in Singapore. Responsibilities The SMART-T7 project concerns the design of human-machine systems for the scheduling and allocation of valuable resources in ways that accommodate and optimize
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focus on developing and depositing ATOX-resistant coatings on polymers relevant for satellite construction, such as carbon fiber reinforced polymers, using plasma processes at low pressure and atmospheric
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structural topology optimization vision-based structural health monitoring autonomous and drone-based infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil
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researcher will test these materials to design, fabricate and optimize organic optoelectronic devices, focusing on the manufacturing aspects including miniaturisation of devices, encapsulation, flexibility and
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Certifications/Licenses Required Knowledge, Skills, and Abilities Experience with AI-driven model updating and calibration of structural systems, including learning-based or optimization approaches Strong
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numerical methods for the inverse design of nanophotonic structures enabling broadband, multiparameter sensing in fiber-based systems. The project is a collaboration between AMOLF, TU Eindhoven, and
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methods and systems to overcome the limitations of today’s materials processing technologies. One particular area of interest is the design and fabrication of active structures through hybrid production
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materials design and theoretical calculations. The project aims to achieve the following goals: Develop a low-temperature macro-preparation technology for hard carbon. Optimize the design of hard carbon
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hierarchical and composite nanofiber systems with prescribed structures to optimize performance in targeted applications while expanding the fundamental understanding of nanofiber fabrication processes and their