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pretraining and downstream predictive and generative applications. Your main responsibilities are to: design, implement and benchmark foundation-model architectures for microbiome data, including transformer
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downstream predictive and generative applications. Your main responsibilities are to: • design, implement and benchmark foundation-model architectures for microbiome data, including transformer-based and
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, enabling more efficient downstream metallurgical processing and improved metal circularity. Over recent decades, numerous sensing technologies have been developed for metal scrap characterization. Yet
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provide meaningful explanations of their predictions to downstream users. A central aim of this project is to investigate how Vision-Language Models (VLMs), Multimodal Large Language Models (MLLMs), and
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disease-relevant cellular models of EBV-infected B cells, modulate ERAP2 activity, and read out the downstream consequences for antigen presentation, NK and CD8+ T cell cytotoxicity, and B cell survival