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Field
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efficient, adaptive use of multistable networks, offering an alternative to energy-intensive digital systems with rigid bits and separated memory and computation. In this project, we aim to design and realize
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using appropriate arguments and communication styles. Networking skills: You establish connections easily, maintain relationships, and actively use your network to initiate and strengthen collaborations
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technology for the forthcoming generation of highly energy-efficient computing systems. FeFETs are programmable, non-volatile silicon devices that enable innovative architectures to efficiently execute complex
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seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the candidate will be
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seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful
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Royal Netherlands Academy of Arts and Sciences (KNAW); Wageningen | Netherlands | about 15 hours ago
opportunities to expand your network and to collaborate with colleagues from different institutes and organizations. Terms of employment Depending on education and experience the minimum salary is €3.546 and the
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19 Sep 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Programming Engineering » Computer engineering Engineering » Electrical
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net salary. Nice, right?
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ageing but is rare in wild populations. We will analyse longitudinal changes in social networks and biological age (using an epigenetic clock) within individuals to reveal the effect of social stress
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technology for the forthcoming generation of highly energy-efficient computing systems. FeFETs are programmable, non-volatile silicon devices that enable innovative architectures to efficiently execute complex