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Field
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time for Biology — enormous advances in global genome analysis coupled with unprecedented developments in interdisciplinary research have made the 21st century the Century of Biology. For more
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relevant subject (cardiovascular medicine, physiology, molecular biology, etc.); Omics data acquisition and analysis (any of the following: RNA-seq, proteomics, spatial omics, metabolomics); Strong record
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Lawrence Berkeley National Lab’s (LBNL ) Advanced Light Source (ALS ) Division has an opening for a Spatially Resolved Soft X-ray Reflectometry Postdoctoral Fellow. The employee will collaborate
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Carry out data analysis of spatial transcriptomics data (including integration of publicly available single-cell RNA sequencing datasets from coronary plaques) using computational analysis Analyse
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research teams. Responsibilities: Develop and apply AI-assisted weather and climate models with high spatial and temporal resolution. Integrate remote sensing, observational, and numerical model datasets
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advanced clinical imaging, multimodal spatial profiling, and functional analysis of human tissues, we will generate unprecedented insights into the mechanisms that govern health and disease. The successful
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offers research opportunities to motivated postdoctoral fellows interested in solving agriculture-related problems at a range of spatial and temporal scales, from the genome to the continent, and sub-daily
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studies, critical infrastructure studies, heritage research, and spatial analysis. The PhD position is funded for three years, starting 1 March 2027 and ending 28 February 2030, and is embedded within
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and organoid platforms, genome engineering technologies, advanced microscopy, spectral flow cytometry, single-cell and spatial genomics, proteomics and biomarker laboratories, and high-performance
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supportive, high-performing School of BioSciences environment. What you will deliver: Lead computational analysis and integration of single-cell RNA-seq and spatial transcriptomics datasets on endometrium