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of AI and in particular machine learning (ML). As today’s mainstream AI/ML workloads often resort to large-scale and energy-hungry supercomputers, it is necessary have a more critical look at how HPC
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of it, is focused on the languages of Norway, Scandinavia, and Europe. For additional background, please see: https://www.mn.uio.no/ifi/english/research/groups/ltg/ https://openeurollm.eu https://hplt
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The Louai Labanieh Lab is seeking motivated postdocs to develop, characterize, and test novel biotechnology platforms for: i) the precise in vivo delivery of genetic cargo and ii) regulation
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schemes and reduce economic harm. Consequently, organizations are now looking to artificial intelligence (AI) to enhance AML capabilities. AI-driven solutions can learn from vast datasets to spot hidden
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-edge research in these areas. You will learn state-of-the-art techniques in formal methods and knowledge representation and apply them to high-impact use cases related to industry. Potential candidates
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on genotype-to-phenotype mappings considering motion and fabrication constraints. Integrate autonomy stacks (perception, learning, planning) in the co-design process and run experiments across classes
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kind of machine learning algorithm, provides more accurate data than traditional data collection methods, e.g. paper-based surveys. This data is valuable to several stakeholders: i) architects and urban
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from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
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severity of cyber threats. Both defenders and attackers are now using Machine Learning (ML) and Artificial Intelligence (AI), therefore research is needed to investigate and design more advanced
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, and relevance for the AI centre and Work Package 2. The department will host an online orientation meeting for the position 8 January 2026 at 14.00 hrs (CET). Participate at: https://uib.zoom.us/j