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research focuses on the study of quantum magnetism at the atomic scale. We build artificial quantum architectures from single atoms and molecules on surfaces and on probe tips, control their spin states, and
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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to make a difference. Do you want to be involved and contribute to our development? Together, we can create a sustainable future through knowledge and innovation. We believe that knowledge and new
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technical teams. You will also contribute to research dissemination, capacity building, and open-source platform development. Skills, Experience & Qualification needed You will have: A PhD (or nearing
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research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but
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on LLM-based risk analysis and demonstrate its applications in various risk control measures. You will collaborate closely with other researchers at the division and contribute to building a shared
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flight tests and preparing the key building blocks to be used in the new generation of green launch vehicles aimed at reducing recurring costs while extending operational capabilities. The STS ESRIN
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methodologies? Are your experienced and knowledge founded in one or more areas within below field of research: Software Engineering: Software Architecture, Design patterns, Quality Attributes (e.g
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respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in building science, architecture, mechanical engineering, construction, or closely related
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PhD students. Contributing to the teaching at the department to build your teaching portfolio for applying to academic positions. Participating actively in the research community, including attending