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computation, communication and storage, optimizing GPU utilization, parallelization, inter-node communication and I/O performance on parallel file systems. You will develop solutions for monitoring
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, signal and image processing, data-driven and physics-based models, as well as clinical validation and implementation. Neuroengineering increasingly incorporates AI‑based approaches to support
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for materials synthesis, characterization, device fabrication, cleanroom processing, printing, and additive manufacturing. LOE maintains close collaboration with the Research Institutes of Sweden (RISE
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bioelectronics. A strong common theme is materials for sustainable technologies. LOE provides state-of-the-art facilities for materials synthesis, characterization, device fabrication, cleanroom processing
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. Read more: https://impactinnovation.se/program/swedish-metals-minerals/ Your work assignments As a PhD student in this project, you will work in a world-leading group focused on application-inspired
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levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/en/organisation/liu/ida You will be employed at the division of cybersecerty
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early-stage researchers recruited into the WISE program will be a part of the WISE Research School https://wise-materials.org/research-school/ an ambitious nationwide program of seminars, courses
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about research and eduction in cybersecurity at Linköping University is found here: https://liu.se/en/research/cybersecurity As Assistant professor in Computer Science with a specialisation in
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complements the research across the three research areas listed above in conjunction with the research of the division (see https://liu.se/en/organisation/liu/ida/hcs ). Applicants are encouraged to
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[email protected] David Lundström Universitetslektor +4613281366 [email protected] URL to this page https://web103.reachmee.com/ext/I011/853/main?site=7&validator=d7a66c13be778ef950c393a904293789&lang=UK&rmpage=job&rmjob=29710&rmlang=UK