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Field
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artificial intelligence, computational cognitive science, human-computer interaction, computer science, information systems, or another relevant field. - A keen interest in pursuing interdisciplinary research
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are seeking a highly motivated PhD candidate to develop efficient on-device generative AI systems based on large language models (LLMs). The project focuses on creating compact, low-latency, and energy
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following: soft-robotics, compliant mechanisms, mechanical metamaterials, smart materials or related topics. Capability in computer drawing, modelling and simulating. Proficient in English reading and writing
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score of at least 237 on the computer-based form of the Test of English as a Foreign Language (TOEFL); or A score of at least 92 on the internet-based test of the Test of English as a Foreign Language
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. We are part of a ‘people-first' university of technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology
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‘people-first' university of technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology, Maintenance, Smart Regions
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that incorporates all steps of hydrogen generation/purification from sustainable sources and ammonia synthesis in a single device. The PhD project will be part of the OASYS project funded by NWO in the context
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architectures, and on-device inference on edge-compute platforms. Demonstrated analytical problem-solving through experimental design, critical quantitative and qualitative data analysis, and validation
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skills is referred as the following: An overall score of 6.5 or higher in the International English Language Testing System (IELTS, academic version); or A score of at least 237 on the computer-based form
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skills is referred as the following: An overall score of 6.5 or higher in the International English Language Testing System (IELTS, academic version); or A score of at least 237 on the computer-based form