19 parallel-computing-"Prof"-"Trinity-Laban-Conservatoire-of-Music-and-Dance" 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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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof
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: SDU (Profs. Tobias Neher & Michal Fereczkowski), the German Institute of Hearing Aids GmbH (PD Dr. Hendrik Husstedt & Dr. Florian Denk), Odense University Hospital (Clinical Prof. Jesper Hvass Schmidt
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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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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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led by Prof. Jens S. Andersen (Andersen group) at the Department of Biochemistry and Molecular Biology (BMB) at SDU. The Andersen group is associated with the ‘Biomedical Mass Spectrometry and Systems
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Prof. Daniel Merkle. The overall research project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the design of microbial communities
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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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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