33 cloud-computing-"https:" "https:" "https:" "https:" "https:" research jobs at University of Southern Denmark
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are invited from candidates with a PhD degree from a broad range of fields, such as communication, political science, computer science, media studies, or sociology. For more information, see the complete job
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to operate in harsh environments, for space applications. This project leverages state-of-the-art neuromorphic sensing and brain-inspired computing to enable a new generation of intelligent vision systems
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the development of sustainable bioelectrochemical technologies. The positions are part of the Microbial Electrochemical Methanation Initiative, a large collaborative research program funded by the Novo
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Job Description The Centre for Machine Learning within the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA) at the University of Southern Denmark
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with a background in either communication, journalism, political science, sociology, law, economics, or computational social science, as well as an interest in how AI transforms the media and information
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fields of journalism studies or political communication, but we invite candidates with a PhD degree from a broad range of fields, such as communication, political science, computer science, media studies
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and discovery Integrate computational and experimental results to advance mechanistic understanding and predictive modelling Collaborate with academic and industrial partners Mentor and supervise
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behavioral measures in healthy human participants combined with quantitative modelling. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and
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have practical applications, such as optimizing color selection for attentional purposes. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret
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) using a novel cell culture model. The postdoc will work on a comprehensive translational research program combining advanced human iPSC-derived co-culture models, spatial transcriptomics and proteomics