6 programming-language-"St"-"St"-"FEMTO-ST" Fellowship positions at King's College London
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Probes”. The project’s goal is to develop methods for latent probing (aka activation monitoring) of large language models (LLMs) that leverage certification and conformal prediction techniques to offer
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The position is funded by the Open Philanthropy grant “Verifiably Robust Conformal Probes”. The project’s goal is to develop methods for latent probing (aka activation monitoring) of large language models (LLMs
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provision and in staff interactions. The programme of work comprises 5 Work Packages (WP): WP1: Exploring the current systemic barriers to this goal. This work package involves working with the team
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Experience working with generative models or large language models Experience with large scale GPU-based model training and cloud computing Knowledge of synthetic biology or regulatory sequence design Previous
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provision and in staff interactions. The programme of work comprises 5 Work Packages (WP): WP1: Exploring the current systemic barriers to this goal. This work package involves working with the team
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provide a generous salary plus running expenses of up to £30,000 for 18-24 months. They will enable appointees to establish their own research programme at King’s, focussed on establishing a competitive