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: Translate ML-based error-correction / DPD algorithms into hardware-friendly forms (model reduction, sparsity, quantization, fixed-point design). Design the architecture and RTL of a low-power accelerator that
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trustworthy AI for science. At Eindhoven University of Technology (TU/e), you will contribute to the project’s core technical components: scientific data orchestration and knowledge graphs architecture and
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to translate emerging technologies into practical solutions with societal impact. You have: A MSc in Computer Science or a closely related field A strong background in software engineering and data architecture
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Systems, or related background and strong hardware design skills. Strong background in computer architecture, digital design, and real-time systems. Knowledge of embedded systems and hardware/software co
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. Duties Within the Data Science Section, you will be responsible for: supporting the definition and implementation of the architecture for a hybrid-cloud science platform (expanding ESA Datalabs - https
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, and participate in outreach activities that will be generally, but not exclusively, related to your research topics. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of
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PhD at TU/e within the ICT Lab in the Signal Processing Systems group. Where to apply Website https://www.academictransfer.com/en/jobs/357819/phd-in-network-architectures-an… Requirements Specific
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bridge AI and EDA. Future methodologies must deliver cross-layer optimization from software to silicon, intelligent automation for design space exploration, and scalable architectures that adapt
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the ground to the Moon and beyond. Experts in our team work on all aspects of current and future navigation system architectures and of mission design and analysis. We assess the navigation and timing system
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-end digital printing, offering advanced hardware, software, and services aimed at professional and industrial-scale print environments. Where to apply Website https://www.academictransfer.com/en/jobs