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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
benchmarking framework for legal and ethical issues (T6.3). Requirements and guidelines for fine tuning and validation including sociolinguistic flattening and cultural heritage preservation in data curation
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-Risk (DAPP-MR) framework helps decision-makers navigate these challenges by identifying low-regret near-term actions and avoiding costly decision lock-ins. Building on this framework, this position
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build validated benchmark datasets and an evaluation framework covering statistical fidelity, temporal and spatial structure, physical plausibility and downstream task performance (e.g. train-synthetic
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current events remain poorly understood. The DEEP-FLUX project aims to establish a new physical framework for quantifying fluxes of POC and microplastics from land to the ocean floor. The project
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electrical engineering, computer science or a closely related field. A solid foundation in computer vision, pattern recognition, AI-related techniques. Hands-on interest in designing methods using
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collaboration between the University of Twente and Saarland University, funded under the DFG-NWO WEAVE programme. As a postdoctoral researcher, you will lead the human-computer interaction side of the project
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intelligence, computational biology, bioinformatics, computer science or a closely related field; • strong hands-on experience with deep learning and modern representation learning, preferably including
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! Research fields Communication sciences; Computer science Job types Postdoc Education level Doctorate Weekly hours 32—40 hours per week Salary indication €3706—€5760 per month Location Princetonplein 5
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participatory design, and building an extrapolation framework that transfers findings from large datasets to low-volume tumour streams. Approach The work combines several strands. A systematic review
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Vision, the National Archive, and the National Library of the Netherlands. The research will take place in collaboration with the HAICu fieldlab ‘Deep Journalism’, which develops functionality for