68 condition-monitoring-machine-learning Postdoctoral research jobs at University of Oxford in Uk
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challenge. We seek a senior computational biologist to apply these extensive in-house datasets toward the development of novel, domain-tailored machine-learning models and analytical methods. You will explore
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Building). The post is funded by EPSRC and is fixed-term for up to 24 months. The GLUTRONICS project seeks to enhance the quality of life of the millions worldwide affected by chronic conditions, and reduce
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., adolescent mental health, neurodevelopmental conditions, positive psychology, education, AI use in healthcare) together with relevant experience and sufficient specialist knowledge in the discipline of
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, learning and decision making, you will have strong quantitative and programming skills along with a track record of designing neuromodulation and neuroimaging studies in healthy participants, of using
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discipline (eg Statistics, Machine Learning, Biostatistics, AI, Engineering) with experience of developing and applying new methods. You will be able to develop research projects, with publications in peer
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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We seek to appoint a Research Associate (postdoctoral scientist) to join the prolific climate/weather/environmental and impact science community at the University of Oxford, that is interested in
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research will focus on leveraging this interplay to monitor thermodynamic quantities such as work and heat, aiming for direct measurements of work exchange in non-equilibrium quantum systems. The appointed
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becomes essential. This project will focus on building a comprehensive digital twin of a future quantum computer to investigate how classical subsystems scale and interact, and how this scaling impacts
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to learn new techniques and apply them in an interdisciplinary research environment. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting