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exciting recent technological advances, having its impact on fields as diverse as medical imaging, conversational agents, astronomy, and many more. The Oxford Applied and Theoretical Machine Learning (OATML
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of the Institute is to improve tools in, and knowledge from, genetics, genomics, molecular and single cell biology, spatial imaging, machine learning and novel methods of data handling to study the pattern
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reticulum, lysosomes, and peroxisomes in orchestrating these processes. You’ll have the opportunity to deploy a wide range of advanced techniques, including confocal microscopy, live-cell imaging
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• Ability to adapt to emerging technologies in biophysics and computational methods • Knowledge of concepts in digital image processing and analysis • Knowledge of ImageJ or willingness to learn it
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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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mitochondrial biology and cardiac cell research, combined with a drive to learn cutting-edge imaging methodologies and high-throughput metabolic assays. Experience with laboratory animal handling is essential