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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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, 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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control software for scalable qubit architectures. Qualifications · For Theorists: o PhD in quantum information, theoretical physics, computer science, or related fields. o Strong background in quantum
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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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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
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completed or are close to completion of their PhD, potentially waiting for their final viva voce examination, which must be passed prior to taking up the award. ECRs will not have held a permanent academic
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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