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and Severe Mental Illness group in the Department of Psychiatry, University of Oxford, to analyse clinical, biomarker and neuroimaging data from major MRC and NIHR funded studies of psychosis. What We
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postdoctoral researcher to join the Immune-Metabolic and Severe Mental Illness Group in the Department of Psychiatry, University of Oxford, to analyse clinical, biomarker and neuroimaging data from major MRC and
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nitrogen-containing products and assess system performance. You will contribute to the design and testing of the prototype system, analyse experimental and simulation data, and publish the resulting research
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Institute of Particle Astrophysics and Cosmology (BIPAC), on research aimed at extracting cosmological information from large-scale structure (LSS) and Cosmic Microwave Background (CMB) probes on very large
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-spectrometry-based proteomic and metabolomic workflows, quality control, quantitative data processing, statistical analysis and integration of proteomic and metabolomic datasets. You will also contribute to data
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field. The successful candidate must possess expertise in distributed AI/ML systems and computer networks. Good knowledge and practical skills in distributed AI/ML, networked systems, data management, and
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clinical research, including performing clinical and neuropsychological assessments and collecting and processing biosamples, and will develop skills in database curation and analysis of clinical cohort data
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://aria.org.uk/opportunity-spaces/resilient-climate-and-ecosystems/accelerated-adaptation for more information on ARIA and this programme). The project is a collaboration between groups at the Universities
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males and females respond differently to bacterial infection. The successful candidate will play a leading role in the imaging and data analysis components of the project. They will develop and apply high
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in a team and on interdisciplinary research projects. Knowledge of image-based modelling and geographic information systems (preferably QGIS) is desirable. During the initial period, you must