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of High-Throughput Mass Spectrometry Data, Single-Cell and Spatial Omics Data Analysis, Biomedical Data Integration and Visualization, Computational Systems Biology and Network Medicine, Computational
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recruitment process, can be found at https://accedtp.ac.uk/, in the ‘prospective applicants’ tab. Project overview Are you interested in a PhD working on biodiversity and ecosystem service impacts
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. The project follows a bedside-to-bench-and-back approach, utilizing human tissue single-cell and spatial multi-omics at disease remission (inflammation resolution), human tissue organoids, and the use and
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the localisation of inflammation in the joints. The project is based on a bed-to-bench-and-back approach , utilising human tissue single-cell and spatial multi-omics , engineered CAR-T cells,human organoids , and
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The Institute of Biotechnology (IBT) invites applications for a postdoctoral position in the newly established Laboratory of Intracellular Dynamics led by Aniruddha Mitra, PhD. The lab investigates molecular
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to reduce soil erosion. develop a pan-European dynamic soil erosion monitoring system to assess soil erosion status and trends across spatial and temporal scales and promote best management practices
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for identification of targets for early detection, prevention or treatment of Alzheimer’s disease. Position Lead and conduct the processing and statistical analysis of large-scale long-read RNA and DNA sequencing
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, foster transit-oriented development, and encourage single occupancy vehicle drivers to switch to greener modes of transport. The anticipated research methods will comprise data collection and analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
the effect of air pollution exposure on pulmonary and immune responses, analysis of differential gene expression in specific cell types, and in some cases carry out spatial transcriptomic analyses of specific
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a