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microscopy, immunohistochemistry, flow cytometry, QPCR or in vivo models of disease are desirable, but full training will be provided. Candidates should have a PhD in a relevant field such as immunology
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People from Deepfakes Project. We are looking for a software/machine learning engineer (or similar) to work in an interdisciplinary team reporting to Dr Sophie Nightingale (Principal Investigator
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and conducting a range of qualitative (or mixed method) studies to better understand how deepfake technology is being used to cause harm through the creation and sharing of non-consensual intimate
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2016). You should hold a PhD in a relevant field, have a background in cell culture and molecular/cell biology techniques, and an interest in development and/or cancer. You should have experience working
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. Candidates with any background that is relevant to this research will be considered. Preferred candidates will have a PhD or equivalent, with relevant experience in data collation and management, statistical
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design, photo-editing and email marketing software would be an advantage but are not essential as training and support will be provided. This is a part-time 29 hours per week post, fixed term until 31st
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composition in the tropics is likely to change in future • Presenting research findings at meetings and writing them up for publication. We are keen to hear from candidates who have: • a PhD in
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characterisation. You will be expected to contribute substantially to device design and modelling, process flow development and device and small array fabrication and testing. In addition to a PhD in experimental
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colleague who: has completed or is close to completing a PhD in Politics; has experience of teaching at undergraduate and/or postgraduate level; shows potential for excellence in teaching, research and/or
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will be implemented. You will have, or be successfully pursuing, a master’s degree or a PhD in a relevant discipline such as Psychology, Public Health or Urology, or have a primary medical qualification