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Join a research team working on next-generation multimodal AI models for real-world use in healthcare, automotive, and other safety-critical domains. The position offers hands-on work with deep
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of Computer Networks and Systems within the Department of Computer Science and Engineering . Within the Division we have four faculty members, four postdocs and eleven PhD students who are engaged in research
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collaboration with the co-supervisors and their labs, the project will also involve the use of these methods (and methods developed by others) for applications in infection biology, chiefly for designing
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7 industrial PhD students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic research areas
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automotive software engineering. About the research project This project explores how neural-symbolic approaches can enhance the trustworthiness of generative AI models (e.g., Large Language Models (LLMs) and
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our in-house developed spatial transcriptomics-based technology (Spatial VDJ). Using established and newly developed algorithms, we map B cell evolution within tissues, including class switching and
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% of full-time. Your qualifications You have graduated at Master’s level in bioinformatics, computational biology, data analysis, computer science, biostatistics, biological engineering, applied