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(Faculty of Civil Engineering and Geosciences) and work closely with Dr Louise Nuijens and an (inter)national network of collaborators. QUASI offers a unique opportunity to combine cutting edge observations
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from the areas of few-shot learning, continual learning and modular deep learning, as well as different LLM alignment frameworks, based on reinforcement learning and direct preference optimisation
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months based on available funding combined with adequate performance. The preferred starting date is 1st of April 2026. The gross monthly salary, based on 38 hours per week and dependent on relevant
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collaboration, innovation, and work-life balance. If you’re enthusiastic about combining science, innovation, and societal impact, we’d love to hear from you. Join us in shaping a more sustainable future! Job
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waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address
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the relativistic time dilation by only 1cm height difference in the gravitational field of earth. They are useful for searches of physics beyond the standard model, exploration of many-body physics, and societal
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calcium, zinc, iron, and magnesium within nano-sized core–shell assemblies. You will work in a dynamic, interdisciplinary project combining experimental and computational expertise, and in close
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outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging
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. The project adopts a systems-oriented and participatory approach, combining policy analysis, co-design, and stakeholder engagement to identify leverage points for accelerating the protein transition
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combined with adequate performance. The preferred starting date is ultimately September 1, 2026. The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between