59 engineering-computation "https:" "https:" "https:" "U.S" positions at Linköping University
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electrophysiology and fluorescence-based techniques, and screening of potential modulatory compounds. The project involves collaborations with computational research groups and integrates both manual and automated
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/tensions between the global North and global South. We will also consider applicants focused primarily on Swedish/Nordic cases or topics. For full information of the five REMESO research streams see: https
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pioneering cyber resilience across the AI lifecycle. The research program focuses on four key themes: Trustworthy and Verifiable AI, Runtime Security Assurance, Robust and Secure AI-Supported Development, and
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research at LiU: https://liu.se/en/research/cybersecurity The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each
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include teaching or other departmental duties, up to a maximum of 20% of full-time. Your qualifications You have graduated at Master’s level in Electrical Engineering, Computer Science, or Applied
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and expertise are required: PhD in a relevant area e.g. with bioinformatics, computer science or similar At least five years’ experience of working in a research environment with bioinformatics
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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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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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strong sense of technical ownership and provides an excellent opportunity to work at the intersection of practical software engineering and collaborative academic research. The person we need We
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Science, Electrical Engineering, or Applied Mathematics with a minimum of 240 credits, at least 60 of which must be in advanced courses in Computer Science, Electrical Engineering, or Applied Mathematics. Alternatively