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-efficient digital AI/ML accelerator for real-time transmitter error correction in high-speed RF systems. Co-design and validate on real silicon. Job description Wireless networks are becoming increasingly
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PhD candidate on Interprofessional Learning and Team Resilience through the Electronic Health Record
School of Health Professions Education (SHE). Together with colleagues from FHML, MUMC+, and the MUMC+ Quality, Innovation and Research expertise unit, you will work in an interdisciplinary network
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will combine microbiological experiments including molecular and analytical techniques to monitor microbiome dynamics and plant responses, with designing and engineering new release systems The work will
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information, the results are dominated by the confined nature of the geometries that are used in the experiments: the channels have a large width-to-height ratio, making them essentially ‘2D’. This results in
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, with a focus on pharmaceutical degradation. Different plasma/vortex configurations will be assessed in terms of removal efficiency, energy demand, and scalability. This will involve designed experiments
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sciences research with classroom innovation? Then this PhD position may be of interest to you. Job description The Erasmus University Rotterdam together with an interdisciplinary team from Utrecht University
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Institute, who aim at mutual exchange of experiences and instructional materials targeting the design of educational programs on AI literacy in different professional settings. As part of your role, you will
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: – conduct a soil risk assessment based on 100 most used pharmaceuticals in the Netherlands – analyze levels of selected compounds in digested humanure – design lab-scale experiments in different types of soil
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, entrepreneurship, high-growth firms, innovation strategy, scaling, strategic decision-making, strategic management, venture capital Topic Our PhD program seeks to train and guide the next generation of academics in
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pipes in the subsurface. Innovation opportunities lie in combining physics-based knowledge with AI-assisted data analysis and data fusion techniques. By integrating multiple data sources and sensor