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Computing Applications group in CSD has an immediate opening for a Postdoctoral Research Associate to design, develop, and deploy machine-learning and high-performance computing workflows, algorithms, and
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. This project aims to develop VR/AR applications that allow users to explore protein structures interactively and immersively, enhancing comprehension of protein function, behavior, and their roles in food
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the development, evaluation and application of innovative AI, machine learning and systems approaches to modeling biomedical big data for precision health. We are particularly interested in AI methods
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the project’s conceptual foundations. As a Postdoctoral Fellow, you will lead the development of a multidimensional typology and thesaurus of GPAI capabilities, effectively decomposing complex AI behaviors
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and algorithm design Acquire detailed knowledge in navigation sensor and systems technology Additional responsibilities for higher level position includes: Lead the design, development, testing
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the University and Boeing research agreement. They will be required to: (a) develop machine learning-based image processing algorithms for surface condition recognition, defect detection, and digital feature
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course integrated in the educational project of a higher education institution, developed in association or cooperation with one or more R&D units, a requirement to be duly proven at the time of signing
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the algorithm development team; to find relevant real-life benchmark tests, and to compare our developed methods against state-of-the-art. You will join a strong academic team at DTU Management’s Management
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and integrate emerging AI techniques (e.g., agentic workflows, LLMs) into scientific problems, ensuring methods effectively solve real domain challenges. Advanced Model Development: Design and debug
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: Participate in the design of software that supports and enriches research productivity and reliability; implement software solutions. Develop software and data services with researchers to ensure that modern