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analysis, interpretation, and write-up using a critical social science approach. Duties will include: coding and thematic analysis and of data; interpretation of results; developing a robust qualitative
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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with Dr Marion Waite and her team, you will support the recruitment of participants, data collection and cleaning, statistical analysis, and dissemination of findings through reports and presentations
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to live and work in the Durham area on our Why Join Us? - Information Page The Role and Department The successful candidate for this Research Associate position will join the Department of Engineering at
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, which means: Developing a third-party funded project to be submitted to a competitive programme (e.g. Marie Curie, FWF individual project, FWF Esprit) Further developing your academic profile through
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field such as psychology, mental health, behavioural science, digital health, or a related discipline Experience working with quantitative data and relevant software for data management and analysis (e.g
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to understanding the origins and progression of paediatric brain tumours and developing new therapeutic strategies. The lab combines genetic engineering, molecular biology, and translational research to investigate
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(Department of Chemical Engineering, Waterloo Institute for Nanotechnology). Program Details: UM6P will be the administrative body for the program, where candidates will apply to the UM6P Postdoctoral Program
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We are seeking a full-time PDRA to join Prof. Dong (Lilly) Liu’s research group at the Department of Engineering Science (Central Oxford). The post is funded by the EPSRC project: Understanding