26 high-performance-computing-"https:"-"CIPMM---Systemic-Neurophysiology" "https:" "https:" positions at Ghent University
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19 Mar 2026 Job Information Organisation/Company Ghent University Research Field Computer science » Other Environmental science » Earth science Geography » Other Researcher Profile Recognised
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description → Apply before 24/03/2026 (DD/MM/YYYY) 23:59 (Brussels
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the use of critical materials, while maintaining high performance in terms of power density and efficiency. Critical materials considered in this project include both rare-earth magnetic materials and
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) Application Deadline 10 Mar 2026 - 22:59 (UTC) Country Belgium Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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together to offer high-quality education to students and to carry out groundbreaking research in various areas of applied mathematics, computer science, and statistics. For an overview of the current
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conventional embedded platforms as well as unconventional compute technologies. Designing and simulating controllers that balance high performance with hardware efficiency Mapping your algorithms to hardware and
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, the IDLab research group (https://idlab.ugent.be/home ) performs research on 1) connectivity and 2) data science & artificial intelligence. In these research areas we focus on 1) foundations, 2) system design
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-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description → Apply
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of distributed MIMO, and/or coordinated multi-AP operation (under study in the Wi-Fi 8 standardisation workgroup), using Hardware Description Language on FPGA, based on the open-source openwifi project (https
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conventional embedded platforms as well as unconventional compute technologies. Designing and simulating controllers that balance high performance with hardware efficiency Mapping your algorithms to hardware and