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four years are expected to acquire basic pedagogical competency in the course of their fellowship period within the duty component of 25 %. Place of work is Department of Chemistry at Blindern/Gaustad
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and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social science). The candidate is expected to contribute toward developing
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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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learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts. This position is part of the DRIVE project, funded by the Research Council of Norway (RCN) (2026-2030
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at the University of Oslo. Postdoctoral fellows who are appointed for a period of four years are expected to acquire basic pedagogical competency in the course of their fellowship period within the duty component of
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career development plan, specifying career goals and the competencies that the postdoctoral fellow should acquire, no later than one month after commencement of the postdoctoral period. The department is
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language processing or computational linguistics; alternatively, in computer science or machine learning with a specialization in natural language processing Documented knowledge of core machine learning methods and
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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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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