68 condition-monitoring-machine-learning Postdoctoral positions at University of Oxford
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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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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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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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machine learning methods to improve the understanding, treatment and prevention of human disease. The successful candidate will develop novel statistical and machine learning algorithms to address key
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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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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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and clinical neuroscience. This project involves development of machine learning methods for mapping the relationships between diffusion MRI (dMRI) and phase-sensitive OCT (PS-OCT) in the same tissue
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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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and in the surveillance of premalignant conditions. Clinicians assess the mucosal microstructure to observe any dysplastic changes that are early indicators of progression to malignancy. 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