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Computing (HPC) environments Prototype using emerging computer vision frameworks, applied machine learning techniques, and medical imaging standards Develop user-friendly front-end interfaces, web dashboards
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development activities at the intersection of Generative AI, Multimodal Machine Learning, Trustworthy AI, and physics informed learning. The group is developing novel methods, tools, and platforms to support
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activities. Your role As a professor in the Department of Computer Science, you will: Lead research in your area of expertise, with a focus on machine learning and foundation models, and have the opportunity
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experience in several of the following topics (ordered by importance): Large language models and LLM-based agents Human-AI interaction, human-computer interaction and human factors Reinforcement learning and
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-doctoral experience in bioinformatic research • Strong expertise in omics analysis and machine learning • Strong publication track-record in fungal biology, preferably with
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Experience and skills · 1-2 years of post-PhD research and engineering experience · Excellent knowledge in information security, particularly in machine learning for cybersecurity
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to improve the performance of future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, we use tools such as artificial intelligence/machine
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Experience and skills · 1-2 years of post-PhD research and engineering experience · Excellent knowledge in information security, particularly in machine learning for cybersecurity
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projects Ideally, experience contributing to or managing open-source software projects Knowledge of both the basics and the latest developments of machine learning, in particular large language models and
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talks, workshop organisation, and commitment to open, collaborative science Experience with tools for qualitative and quantitative analysis; experience and practice with machine learning and Artificial