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infrastructure? Join us to develop innovative photonic technologies that enable ultra-fast, energy-efficient, and highly scalable optical interconnects for next-generation AI compute clusters. Information
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and educational outcomes. Responsible AI and fairness auditing. Conduct algorithmic fairness validation of the CLARA system, develop documentation on data governance and GDPR compliance, and contribute
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quantification using TROPOMI Observations). COGNITO aims to develop the first global, satellite-based system for detecting and quantifying carbon monoxide emissions from major urban areas and industrial facilities
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This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing
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and fluctuating electricity prices, the main objective will be to develop a control-oriented model and algorithm to alter the lighting, CO2 dosing, and air circulation that satisfy the crops' needs
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this project, you will design a system and develop a first feasibility prototype for such a device, based on photonic sensing technology and advanced data analysis techniques. Your responsibilities include
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-static beamforming methods, and semi-tomographic reconstruction algorithms that enable high-quality 3D visualization of the abdominal aorta. In addition, you will develop algorithms for segmentation
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team at the University of Twente, you adapt existing quality control algorithms and develop additional validation methods. You participate in recurring online meetings with scientists and technicians
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notions of resilience have to be developed along with algorithms to check resilience of machine learning models. Research is conducted in the fields of automated reasoning, probabilistic verification, and
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sovereignty, and cyber-electromagnetic resilience. The PhD researcher will primarily work within Tilburg University’s AI research infrastructure, focusing on algorithm development, model training, and