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underlying cognitive and affective symptoms in Parkinson’s disease. The post holder will contribute to multimodal neurophysiological data acquisition, computational analysis, interpretation, publication, and
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learning to improve detection using multiphase CT imaging and longitudinal biomarker data in routine practice. You will work with multidisciplinary clinical and AI teams on applied research, developing and
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candidate will conduct hands-on empirical research that embraces both experiments and modelling and be responsible for three stands of research (i) using industrial data (and working with industry) to model
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spectroscopy methods (Operando XPS/XAS, Hard XPS) to probe the interfacial reactions occurring in Li-ion batteries. Further information about the research group can be found at: https://emi.materials.ox.ac.uk
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will include coordinating multiple aspects of the project, refining working hypotheses in light of new data, and contributing ideas for new research directions. The post-holder will be encouraged
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. The opportunity: We are looking for someone to analyse environmental soundscapes using signal processing or machine learning. Initially, you will work with underwater passive acoustic sound data, and later may
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information about the research group can be found at: emi.materials.ox.ac.uk This is a full-time, fixed-term post for three years and is based at the Department of Materials. About you: You will hold, or be
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while contributing conceptually to the overall research programme. This will include coordinating multiple aspects of the project, refining working hypotheses in light of new data, and contributing ideas
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Are you passionate about using data science and machine learning to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
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Are you passionate about using geospatial data and place-based analytics to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious