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challenging real-world tasks. They will also explore reinforcement learning strategies to optimize decision-making policies in complex environments, and develop fine-tuning protocols for large pre-trained
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develop ecological and numerical interpretations of the results. They will take the main responsibility for developing palaeoecological temperature records at key project sites and, together with other PhD
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, as well as retreats and study days provide numerous opportunities to exchange ideas with other doctoral students, receive feedback on the work in progress, and acquire the skills necessary
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