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Are you fascinated by a future where generative AI models fully comply with the specifications and the requirements of the systems that use them? We are excited to offer a postdoc position, which is
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by a future where generative AI models fully comply with the specifications and the
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language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University of Amsterdam is looking for a postdoc researcher to join our research team and contribute
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Are you interested in cutting-edge research at the intersection of large language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University
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contribute to the ongoing work in the chair groups. A special focus will be put on the transfer of model knowledge to practice, i.e. the improvement of communication with decision-makers and the investigation
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for the PhD thesis as your ‘Letter of motivation’ and one for all other documents as ‘Extra attachment). You may apply for this position until 12 October 11:59pm / before 13 October 2025 Dutch local time (CET
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stringent energy, safety, and integration requirements of aviation. The main objective of the postdoctoral position is to develop a high-fidelity battery system model ready for future digital twin development
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with analysis of proteomics data is essential. You are highly motivated, creative and willing to work with human postmortem brain tissue and Parkinson model systems. Within this project most
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Postdoctoral Researcher in Gravitational Wave Astroparticle Physics (GRAPPA, University of Amsterdam
black holes; Develop and validate theoretical and computational models to a standard suitable for robust data interpretation; Present results at group meetings, seminars, and international conferences
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”. Are you excited about the opportunities that data science in nutrition—especially the role of targeted metabolic modelling, machine learning and AI offer in developing effective personalized nutrition