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into meaningful information. This data includes measurements, images, text, recipes, and more. The project addresses the real-world challenge of extracting value from semi-structured textual data, a
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components for fusion reactors. These technologies enable highly precise, modular, and geometrically flexible fabrication methods suited to the structural and functional requirements of fusion devices
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Language Models for Data-to-Text Problems” and involves the study of technical methods and approaches for adapting large language models to tasks mixing text and structured data, such as statistical report
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in control systems and fluid-structure interaction. The students will be supervised by Prof Khac Duc Do and the co-CIs of the project. Student type Future Students Faculties and centres Faculty
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construction and safety, building energy and installation, solid mechanics, fluid mechanics, materials technology, manufacturing engineering, engineering design and thermal energy systems. The research under
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. To thrive in this role, it is important that you take a structured, self-driven approach to technical work and communicate effectively within the team and with external partners. While not required, it will
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: How sensitive are the emission factors of the different stoves to user behaviour, and what are the underlying mechanisms? What are the emissions profiles of solid waste (e.g. construction timber, garden
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to long-term responsibility This studentship is expressly structured to provide a strong pathway into industry, positioning successful candidates favorably for future roles with Jungbunzlauer. What you
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areas such as competitive strategy and business models, international strategy, corporate structures and governance, entrepreneurship, innovation, knowledge-based strategy and strategic leadership and
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of Athens in collaboration with Evangelismos General Hospital, Greece Duration: 3 years (with possibility of extension) Start date: August 2026 at latest The students will be enrolled in the structured PhD