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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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implementing quality assurance and quality control (QA/QC) test Designing testbenches, and contributing to firmware programming for state-of-the-art FPGA architectures, primarily Intel FPGAs. Collaborating
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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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: Innovate in vacuum systems, laser stabilization, and real-time control software for scalable qubit architectures. Qualifications · For Theorists: o PhD in quantum information, theoretical physics
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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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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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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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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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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