71 condition-monitoring-machine-learning Postdoctoral positions 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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., 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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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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, 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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PhD in Chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment. The research requires experience in computational chemistry, including machine learning
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projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
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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