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and Innovation Associate to join this ambitious project. You should hold a PhD in a relevant field such as applied/pure mathematics or physics and have an established track record of original research
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interest to identify cancer drivers from genomic data using machine learning (Mourikis Nature Comms 2019, Nulsen Genome Medicine 2021), study their interplay the immune microenvironment (Misetic Genome
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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research careers. Awards can comprise between three and six months salary (at Grade 7 SP 30) and some research support costs for an EPSRC-funded student following the submission of their PhD thesis
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neuroscientists studying learning in brain networks in Oxford, as well as other theoretical neuroscientists modelling learning processes in Oxford and Imperial College London. The post holder will also be a member
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workflow tools (Git, Github, Quarto/Rmarkdown/JupyterBook). Experience of producing academic journal articles is essential. You will likely have at least a Masters degree in Health Data Science, Data Science
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. Backholm) would be your main supervisor. Together we would design your work so that it fits your background and interests and provides the best springboard for your future career. You would also work in
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We are seeking a Post-doctoral research associate to investigate the mechanisms of mutagenesis in the human genome. The Opportunity: To lead a programme of original, high-quality research focusing
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atlas. The focus of the project is on two main areas of the Eastern Mediterranean: Cyprus and the northern Adriatic. Under direction of the project’s Principal Investigator, Prof. Elinor Payne
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to evaluate and stress-test LLM agents in system-level environments. Studying adversarial threats and hijack scenarios. Developing practical safeguards and certification strategies to ensure safe execution