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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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methods Clinical experience in rheumatology, including outpatient clinics Desirable Criteria: Higher degree (MD/PhD) in a relevant field Record of peer-reviewed publications in rheumatology or epidemiology
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using a variety of advanced methods with the support of project supervisors. The postholder will have completed a PhD in a relevant discipline and have expertise in quantitative research methods
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of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing on gene regulation and the engineering of microbial and human cells. You
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this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. Excellent knowledge and skills in research evaluation and dissemination. 2. PhD or Masters degree
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knowledge and skills in implementation science. 2. PhD or Masters degree in a relevant discipline 3. Excellent stakeholder management skills with a proven ability to be able to work with individuals and
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. Excellent knowledge and skills in research evaluation and dissemination. 2. PhD qualified in relevant subject area 3. Excellent stakeholder management skills with a proven ability to be able to work with
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your application has changed. To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Higher degree (MD, PhD or equivalent) in a
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teams Evidence of leadership potential Demonstration of understanding, and commitment to, a career in neuro-oncology Desirable criteria Intercalated Honours degree or PhD (or pending results) in relevant