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innovative research programmes. You may also: Hold a PhD in genetics, pathology, cancer cell biology, computer science, data science, or a related discipline. Have a significant research profile with a strong
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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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setting, and what the mathematically necessary assumptions are. There are 2 positions available for this vacancy. The successful applicants will contribute to the development of results in the field
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research. Your main research responsibilities may include: Collect and analyse spectrum data using JOINER-NSF, establishing key patterns and trends in spectrum utilisation and creating automated techniques
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responsibilities may include: Collect and analyse spectrum data using JOINER-NSF, establishing key patterns and trends in spectrum utilisation and creating automated techniques for detecting and identifying specific
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individually, make a real difference. The role We are seeking qualified applicants for a position as Language Data Scientist on the ERC Synergy grant ‘NILOMORPH: The evolution of suprasegmental morphology in
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individually, make a real difference. The role We are seeking qualified applicants for a position as Language Data Scientist on the ERC Synergy grant ‘NILOMORPH: The evolution of suprasegmental morphology in
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) for further information about this position in advance of submitting your application. Applicants are required to have a PhD* or equivalent professional qualifications and experience in a relevant discipline
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invited to contact Dr Benjamin Cerfontaine (b.cerfontaine@soton.ac.uk ) for further information about this position in advance of submitting your application. Applicants are required to have a PhD* or
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statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing to the development of biomarkers and predictive models. A critical part of your