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Natural Language Processing, Language Models, Information Retrieval, Deep Neural Networks, Computer Science, or related discipline; Proven affinity and/or experience with LLMs; Willing to work both at
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of you Required PhD in machine learning, physics, or a related field. Established expertise in deep learning (familiarity with graph neural networks, transformers, diffusion and flow based generative
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interpretable, reliable, and scalable ML methods, neural quantum states, understanding the simplicity bias of overparameterized neural networks, or applying them to quantum systems, such as ultracold quantum
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mentoring of members of our research network, as well as outreach activities, all generally related to your research topic though not exclusively. You are encouraged to visit the ESA website: https
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based on pathology or dysregulated cell biology. WP1. To generate well-defined iPSC and differentiate into neural cells that can be used for FTD and PD(D)/DLB subtype-tailored compound testing. WP2