19 bio-inspiring-computing PhD positions at University of Southern Denmark in Denmark
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Job Description The Institute of Mechanical and Electrical Engineering at SDU invites applications for a PhD position in Neuromorphic Brain-Computer Interface Design. Are you a multidisciplinary
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Job Description The SDU Center for Energy Informatics is pleased to announce 3-year PhD positions in AI-driven decision support and digital solutions for sustainable energy and industrial systems
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Job Description Are you passionate about neuromorphic computing and hardware design? Do you want to contribute to the next generation of brain-inspired computing systems for healthcare applications
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electronics for neural and wearable sensing. Help bridge the gap between bio-signals and neuromorphic computing—starting from the source! For questions or informal inquiries, contact Hooman Farkhani (farkhani
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-design SSM-inspired spiking neural network (SNN) cores and integrate them with a low-power RISC-V processor. The PhD candidate will develop spike-based computing blocks and explore hybrid analog/digital
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Position in XAI with Commonsense Knowledge for Robotics and Computer Vision 2. PhD Position in Sustainable AI for Enhancing Health Informatics (Please scroll down to read more about the project descriptions
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21 Aug 2025 Job Information Organisation/Company University of Southern Denmark Department Department of Mathematics and Computer Science Research Field Computer science Researcher Profile First
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. The successful candidate will be asked to apply to the PhD school, Faculty of Health Sciences, SDU for enrolment as PhD student. The PhD programme will be carried out in accordance with faculty regulations and the
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Experience in mass spectrometry-based proteomics, structural biology, or CRISPR-mediated gene editing Proficiency in computational data analysis Strong communication and collaborative skills and an interest in
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on conventional computing platforms such as GPUs, CPUs and TPUs. As language models become essential tools in society, there is a critical need to optimize their inference for edge and embedded systems