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applicant should have prior experience in data analysis, data visualization, and preferably the development of interactive web-applications through approaches such as Bokeh, Shiny, Taipy, Streamlit etc
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analyses, including tasks and analysis using AI language models (LLMs). The postdoctoral researcher will co-lead the ethical application process for clinical fMRI and online behavioural studies and supervise
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glacial processes, and coupled hydrological processes or earth system modelling of terrestrial carbon cycle processes. As well as experience of large dataset collation and analysis, including geospatial
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analysis. The engineering targets identified using computational approaches by the successful applicant will be validated in crop plants by other members of the consortium. This is an exciting collaborative
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new data will be linked with information from samples previously collected during pregnancy, there will also be opportunities to be involved with analysis of multi-omic data to study mechanisms
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), based at the Centre for Human Genetics, University of Oxford. The post aims to assist with the preparation and molecular characterisation of tumours using multi-omic analysis focusing principally
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complex qualitative and/or quantitative data from a variety of sources, and contribute original ideas for new research projects. You will coordinate multiple aspects of work to deliver novel research data
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catalysts, product analysis (primarily using NMR and mass spectrometry), and reaction intensification. The project includes industrial partner, HydRegen (https://hydregenoxford.com/) and also involves
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semiconductors for renewable energy generation”. This collaborative project will tackle the complex array of exciting fundamental science arising in “soft” inorganic and hybrid semiconductors, seeking to develop
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computer programs to design experimental paradigms, analyse data and conduct advanced statistical analysis. Prior experience in running neuromodulation studies including TMS and TUS is essential. You will be