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In this project you will develop next-generation cell tracking methods for organoids based on advanced AI approaches and novel biophysics concepts, in order to elucidate the remarkable self-renewal
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their performance (using e.g., automated code generation, train-of-thought prompting, etc.). We will use our GPU cluster to fine-tune the LLM using reinforcement learning, so the system continuously learns and
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