116 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at University of Oxford
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psycholinguistics and education. You will join a vibrant research community, working closely with Dr Bernabeu while integrating into the wider Learning in Families through Technology project. We offer a high degree
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also have experience of analysing research results in a transparent and reproducible way, using relevant tools and software. You should be enthusiastic to learn and work independently and as part of a
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opportunity to teach. Applicants should possess or be close to obtaining a PhD in physics, materials science, or physical chemistry. They should be highly experienced in advanced first principles computational
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institutions. The post-holder will have the opportunity to teach. Applicants should hold PhD (or close to completion) in Physics or a related field. A strong background in Galaxy dynamics and gravitational
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including: • Generous Annual Leave • An excellent contributory pension scheme • Employee Assistant Programme • Family Leave schemes • Cycle and electric car loan schemes
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of the History Faculty Board, (email: martin.conway@history.ox.ac.uk). If you would like to learn more about St Antony’s College, please contact the College Secretary, Lisa Driver Davidson (email
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activities and learn techniques from laboratory members. Experience working with bacteria/microbiology, protein production and purification or immunofluorescence microscopy are desirable but not essential
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volcanic arc using state-of-the-art deep learning techniques and modern seismological processing workflows, reporting to Dr Sacha Lapins. This role offers an exciting opportunity to process multi-year
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with and teach a range of professionals including doctors, lawyers, and university graduates Excellent research skills in practical ethics An outstanding research record appropriate to the present stage
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. They will have experience working with bioacoustic and camera trap data and be familiar with deep learning methods, with a proven track record of training and applying audio signal classifiers. The successful