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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 that may affect the
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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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Machine Learning, Statistics, Computer Science or closely related discipline. They will demonstrate an ability to publish, including the ability to produce high-quality academic writing. They will have the
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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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the mindfulness intervention Analysis of quantitative and qualitative data generated from the project Compiling a report to the funding body at the half way and end of the project Preparing a mixed methods article
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between the Hong Kong Polytechnic University (HKPU) and the Royal College of Art (RCA), funded by the Hong Kong SAR Government’s InnoHK programme. Drawing on the research excellence of both institutions
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legal research methods Knowledge and familiarity with critical and feminist approaches to gendered violence Knowledge and familiarity with research on online environments, in particular social media
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or Sociology, and those with expertise in qualitative, historical and/or archival methods. The successful candidate’s host department will be determined according to best fit. The post holder will be responsible
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the mindfulness intervention. Analysis of quantitative and qualitative data generated from the project. Compiling a report to the funding body at the halfway and end of the project. Preparing a mixed methods
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and breeding grounds for whales in the past. Using phylogenetic comparative methods and the niche modelling results, the post holder will examine the evolutionary history of ecological niches broadly