28 formal-verification-computer-science research jobs at University of Southern Denmark in Denmark
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develop next-generation electronics and computing solutions that solve technology-related challenges in fields such as autonomous robots, drones, IoT, smart grid, and healthcare. The section is a vital
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(AI) affect media, politics, and democracy. Using an interdisciplinary socio-technical approach, the Centre combines methods from social sciences and computer science to address the social
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. Introduction The SDU Software Engineering section at the Maersk Mc-Kinney Moller Institute (Faculty of Engineering) invites applications for a 2-year postdoctoral position in the intersection of edge computing
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Job Description The Section of Chemical Engineering (ChE) at the Department of Green Technology (IGT), University of Southern Denmark, (SDU) invites applicants for a 1-year Postdoc position with
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position as postdoctoral researcher for 2 years in the area of computational nanophotonics, with a focus on semi-analytical and numerical methods for treating electron-beam spectroscopies. We are looking
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environment that encourages innovation and creativity. Opportunities for professional growth and leadership. Access to state-of-the-art technology and resources. Job description SDU Robotics currently has
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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
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, pharmacy, mathematics, computer science and biology. The Department’s research thus contributes to new knowledge and solutions with applications in the areas of climate, environment, energy and health
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characteristics: PhD (completed or soon to complete) in Software Engineering, Computer Science, Artificial Intelligence, or a closely related field. Strong software development and programming skills, with
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) within robotics, computer science, data science, or related fields. The candidates are expected to have a profound knowledge on the majority of the following topics: Machine learning (deep neural networks