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Field
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Are you inspired by developing the next generation of intelligent photonic chips? Join us to pioneer heterogeneously integrated photonic technologies for ultra-fast, energy-efficient optical
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player who contributes positively to collaboration and project success. You also possess: a PhD in Artificial Intelligence, Machine Learning, Computer Science or a related field; at least 3 years of hands
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Join a cutting-edge research programme at TU Delft and investigate the mechanisms of hydrogen-induced degradation in circular steels. Job description Within this project, you will investigate one
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the brain and artificial neural networks, you will contribute to a better understanding of the computational principles underlying auditory intelligence in humans and machines. What you do As a PhD candidate
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researcher. The Veldhorst group is a pioneer in quantum computing and simulation in germanium. They have demonstrated the first single-hole qubit, enabled two qubit logic in germanium, executed quantum
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of compact robot models. The challenge is building capable robot intelligence with limited real robot data and compute. Interaction data is costly and slow to collect, while deployment requires real-time
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computational modelling to contribute to safer flood defences. Job description Internal erosion and piping are among the main failure mechanisms of clay–sand layered dikes and remain important challenges in flood
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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-low-power intelligent processing through event-driven computation, on-chip learning, and compute-in-memory (CiM) paradigms that significantly reduce data movement between memory and processing units
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Researcher (R1) Application Deadline 16 Dec 2026 - 22:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a