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Postdoctoral Researcher with a strong computer science background and demonstrated expertise in deep learning and generative model development to lead the AI component of this initiative. Responsibilities and
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should possess experience in robotics, drones, UAVs, multi-robot systems or smiliar, and practical applications of LLMs, agents, RAG, MCP, or fine-tuning. Proficiency in software development (Python, C/C
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in international venues related to children and computing and/or artificial intelligence experience with software development or prototyping experience participating in national and international
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research-based but may also involve teaching assignments. You will contribute to the development of the department through research of high international quality. In your daily work, you will work closely
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
inclusion – in recruitment, career development, and everyday interactions. An innovative and meaningful workplace where your work contributes to solving real-world challenges. No two days are alike, and we
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families. Specifically, we offer: Access to state-of-the-art facilities and computing infrastructure; Strong support for research career development, including mentoring and international networking
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disciplines. A flexible working environment that supports work-life balance and individual needs. An active institutional commitment to diversity, equity, and inclusion – in recruitment, career development, and
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inclusion – in recruitment, career development, and everyday interactions. An innovative and meaningful workplace where your work contributes to solving real-world challenges. No two days are alike, and we
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. The Department of Energy Conversion and Storage (DTU Energy) focuses on research and development of functional materials, components, and systems for sustainable energy technologies. The technologies include fuel
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collaboration with our team. You will: Develop ML methods to handle conditional data generation mechanism in the development pipeline, and for optimization and simulation Develop ML methods for uncertainty