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in successful research outputs. We are looking for a confident, organised researcher who can evidence: • A PhD, or equivalent in statistics, biostatistics or data science. • OR near to completion
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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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chain, particularly how data is captured to develop and operate AI models and the rewards given to data providers. PRIMARY RESPONSIBILITIES The key responsibilities of the position will be to: Lead the
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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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Caenorhabditis elegans as a model. Cell and Developmental Biology https://www.ucl.ac.uk/life-sciences/cdb Prof Barbara Conradt https://profiles.ucl.ac.uk/71722-barbara-conradt About the role The main purpose
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calculations; Experience with developing, training, and optimizing neural networks or other machine learning models. For this position we are targeting a salary corresponding to Level 4 Spine Point 28 - 30
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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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of neuroscience and AI research, exemplified by its NeuroAI initiative. About the role This postdoctoral position is part of a Wellcome Mental Health Award project: ‘Testing a computational model of the role
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associates, and PhD students. Most staff are employed on/funded through external research grants especially from the National Institute for Health and Care Research (NIHR). Other members of IDRIS are based in
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digital monitoring solution that enhances energy efficiency and sustainability in manufacturing systems. Using advanced sensing and data analytics, it will generate actionable insights to optimise energy