60 assistant-professor-computer "https:" "https:" "https:" "University of St" positions at Linköping University
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position As AI Training Program Officer, you
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and the national DDLS program. You can read about the workplace here: https://liu.se/en/organisation/liu/ifm https://www.scilifelab.se/data-driven/ https://www.scilifelab.se/units/cryo-em/ https
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application! The position Linköping University has a new cybersecurity lab that includes both a computer room for students and a server environment that can be used to simulate different scenarios related
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-assisted AI and control systems is to deliver the right and significant piece of information to the right point of computation (or actuation) at the correct moment in time. To address this challenge, you
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application! The position We are seeking a motivated and curious Research Assistant to join our research team exploring the modulation and pharmacology of proton-activated chloride channels. These ion channels
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application! We invite applications for a fully funded PhD student position to join the research group of Andrew Winters to work on challenging problems in Computational Mathematics for accurate and reliable
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cyber-physical systems (CPS). ESLAB’s work spans advanced system design, dependable computing, and emerging applications in autonomous and safety-critical domains. As an associate professor in Cyber
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employed in the Cybersecurity division with close to 50 members at the department of Computer and Information Science (IDA) . You will work together with Simin Nadjm-Tehrani, professor in dependable systems
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related