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shared parental leave (up to 26 weeks full pay), Paternity leave (up to 6 weeks full pay), and a Fertility Treatment Policy A beautiful campus set in the heart of stunning Devon. Further information
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decision modelling This is a full-time fixed-term position until 31 March 2027, and subject to funding an extension is anticipated. Applications for part-time will be considered, please indicate this in your
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diverse group of interdisciplinary scientists who develop models of biological systems and work closely with policy makers and stakeholders in the UK and around the world. For more information about SBIDER
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engineering, computational biology, protein chemistry, data science, or related field. You will bring expertise in biological product purification, along with strong data handling and modelling skills. You will
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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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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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) 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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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