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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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measurements and proteomics), and microscopy (AFM, confocal and fluorescence) instruments, microscope with cold stage, rate freezer and climate cabinets, GMO class 2 labs, flow cytometry, NGS, Q-PCR facilities
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, and (co-)supervise BSc, MSc and PhD students – though teaching duties may be low Required qualifications include : A PhD in relevant disciplines such as population or conservation genetics, evolutionary
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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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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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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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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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the range of organisms available for sustainable bioproduction. By utilizing and advancing state-of-the-art tools for microbial engineering and characterization, you will develop and implement synthetic
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of publications in high-ranking international peer-reviewed journals Contribute to public dissemination of policy and management relevant knowledge Participate in network building activities both internationally
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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