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We are looking for a motivated Senior Research Associate in Algorithms and Complexity Theory. What We Offer The University of Oxford is a stimulating work environment, which enjoys an international
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tweezers combined with fluorescence imaging to directly visualise nucleic acid sensor interactions with DNA and RNA substrates under applied force. These real-time, quantitative analyses will reveal how
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We are seeking to appoint a talented Bioinformatician to join a team at a pivotal time where you will be developing a predictive algorithm for immunogenicity based off of biological mechanisms. In
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We are looking for a motivated Research Associate to conduct research in Algorithms and Computational Complexity, with applications to Game Theory and Optimisation. The research is led by Paul
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, closed-loop algorithm development, or clinical neuroscience is highly desirable. We are looking for someone with: Experience in real-time human data processing Advanced programming skills (e.g., Python
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the team. These include the use of Tensorflow, PyTorch and Python. You will work with large imaging datasets commonly used by the research team and will test the algorithms already developed by
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society. For over two decades, OII has led the field in exploring how innovations such as generative AI, machine learning, algorithmic platforms, and autonomous systems are transforming economies
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, airborne moisture, and mould growth using sensor data. The ultimate aim is to create a robust metric for identifying houses at higher risk and to design practical mitigation options that support tenants
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fixed-term basis until 31st January 2029. The AI Hub: The EPSRC-funded Erlangen AI Hub brings together leading minds from across the UK’s mathematical, algorithmic and computational communities, employing
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managing the interconnect work for long-term production projects including large arrays of full-recticle and wafer-size semiconductor sensors, as well as one-off R&D pieces and small commercial activities