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Exciting and high-profile interdisciplinary research on visualisation, machine learning, and human-computer interaction Comprehensive computer infrastructure for AI and the analysis of large data volumes A
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covers areas such as pure mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full
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mechanisms occurring in these materials and their synthesis over all relevant length scales (e.g., cutting-edge ab initio methods, atomistic simulation methods, multi-scale modelling, machine learning) High
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authorship. Experience in the field of human genomics, machine learning and generative AI. Experience in analysis of large-scale human omics datasets and electronic health records. Expertise in at least one
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expertise is required in categorical data analysis, longitudinal data analysis, and risk modeling using statistical and machine learning approaches. Experience with supervising and managing clinical research
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. Describe a deep learning project you have executed, ideally a creative use of supervised fine tuning of a pre-trained vision transformer, U-Net architecture, or related topic. Projects in computer vision for
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a cover letter, CV, and contact information for three references. Review of applications will continue until the position is filled. Applicants may learn more about professional development
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science data. For this position, we're seeking candidates with a background and expertise in Large Language Models, Computer Vision Models, Deep Neural Networks, and/or other 'AI' or Machine learning fields
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, volcanology, critical raw materials, and machine learning / AI. The network combines advanced petrological observations and multimodal analytical data with modern ML (including physics-informed and generative
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conducting research "in the wild" (e.g., field deployments or data collection in real-world environments) Familiarity with current AI technologies (e.g., machine learning, large language models) and an