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. An affinity with NLP and/or computer vision would also be welcome. You have experience with empirical research in speech technology, evaluating AI systems, and socio-technical factors of AI. You have an
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. The project focuses on designing and manufacturing innovative microfluidic devices to be used for discovering and isolating novel syntrophic microbes from anoxic environments, with the aim of understanding
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manufacturing innovative microfluidic devices to be used for discovering and isolating novel syntrophic microbes from anoxic environments, with the aim of understanding microbial interactions, metabolic
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with the following qualifications, knowledge, and skills: A master’s degree (or equivalent) in computer science, human-computer interaction, traffic engineering, or related fields. A solid background and
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this field, the Zernike Institute for Advanced Materials covers the whole chain from synthesizing materials, building devices, characterizing materials and devices, and investigating the theoretical foundation
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. An affinity with NLP and/or computer vision would also be welcome. You have experience with empirical research in speech technology, evaluating AI systems, and socio-technical factors of AI. You have an
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this field, the Zernike Institute for Advanced Materials covers the whole chain from synthesizing materials, building devices, characterizing materials and devices, and investigating the theoretical foundation
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involving integrated photonics and color center qubits. You will focus on device design and characterization, delving into the complex physics of color centers, and developing technology based on integrated
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Netherlands Organisation for Applied Scientific Research (TNO). Together, we work on a radically new technology with world-changing potential, developing scalable prototypes of a quantum computer and an intrinsically safe
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, building on many earlier projects revolving around the use of UAV/drones, computer vision and machine learning, change and damage detection, and multi-data integration, such as of UAV-based radar data, which