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competence is expected in the use of analytical methods including proton NMR spectroscopy and mass spectrometry for reaction monitoring. Ideally candidates will also be experienced in synthetic organic
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Mobility Reading Group led by Nobuko Yoshida. The successful candidate will be located in the Department of Computer Science Reporting to Professor Nobuko Yoshida, the post holder will be responsible
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dimensions and will examine family and family life as fundamental to the waging and experience of war. The project is interdisciplinary and will utilize mixed methods. The project will have three contemporary
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of ethnographic or collaborative methods, as well as contributing to peer reviewed publications/presentations. You will also have excellent organisational skills and the ability to communicate effectively with
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of Edinburgh and Glasgow, with expertise across computer science, wearable computing, AI and criminology. Our programme of research utilises both experimental and literature-based approaches to explore
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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areas for research, develop new research methods and extend the research portfolio. To deal with problems that may affect the achievement of research objectives and deadlines by discussing with
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maternity services in England. To be considered for this role you will hold a PhD in social science or other relevant health related science. You will have experience of ethnographic or collaborative methods
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Investigator or Grant-holder and other colleagues in the research group, as appropriate, to identify areas for research, develop new research methods and extend the research portfolio. To deal with problems
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portfolio of public health economics and health economics research, with a focus on quantitative methods. The postholder should be comfortable with a range of analytical methods including economic analyses