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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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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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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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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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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