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researcher excited about working on the cutting edge of AI/Neuromorphic and user interface design? We'd love to hear from you! Research area and project description A Brain-Computer Interface (BCI) decodes
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motivated candidate with a background in chemical or process engineering and strong experimental and analytical skills. Join us to drive innovation in carbon capture and contribute to shaping Europe’s low
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
Biofoundry - and fosters a strong culture of interdisciplinary and international collaboration. Your research will focus on exploring and engineering novel microbial platforms to broaden the range of organisms
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Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips
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Job Description Are you passionate about the green energy transition? Do you wish to contribute to the development of solutions to support the increasingly renewable power grid? This fully funded 3
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of the biggest challenges is the development of efficient, scalable, and low-noise control electronics that operate at cryogenic temperatures. This PhD project addresses this challenge by designing CMOS-based
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is to develop a low-power, privacy-preserving Internet of Things system that supports caregivers in delivering high-quality, home-based care for elderly individuals. The project focuses on developing
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time and emission in the low-loss telecom C-band. We are looking for up to three PhD students, who have excelled in their studies, to join our team working towards demonstrating chip-scale quantum light
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Job Description Are you passionate about designing ultra-low-power electronics for neural and wearable systems? Do you want to develop custom CMOS circuits that serve as the foundation
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. The position will involve development of codes/models simulating the nucleation and propagation of stress corrosion cracking in samples under low cycle fatigue conditions, as well as models for linking