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Field
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high spatial and temporal resolution. The Research Fellow will design and implement advanced bioinformatics pipelines to interrogate stem cell biology using multi-omics approaches, including RNA
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. Strong programming skills in languages like Python or R. Professional experience in the application of Machine Learning algorithms in the mapping and correction of spatial data. Professional experience in
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and imaging gamma-ray sources from thunderclouds to identify their location, spatial extent and evolution in time, which are still unknown. The discovery potential is huge. The successful candidate will
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experience in the application of Machine Learning algorithms in the mapping and correction of spatial data. Professional experience in data analysis, preprocessing, manipulation, and cleaning. Excellent
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or without spatial features. Analyse large-scale omics datasets, interpret results, and generate biological insights. Work closely with national and international collaborators, including clinicians
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, the candidate will work in an interdisciplinary team of biologists, statisticians and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social
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working with others and able to support co-creation. This role will be located in the School of Geography’s Institute for Spatial Data Science (ISDS), as part of the Mobility Science Lab. As well as working
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spatial transcriptomics to link molecular signatures with tissue architecture. Develop predictive models for disease diagnosis, prognosis, and therapeutic targeting. Experimental and Analytical Approaches
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immune surveillance system and its importance for the fish defense against infectious diseases in aquaculture. The successful applicant will join Julien Resseguier’s “Spatial Immunology & Nanomedicines
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), (c) estimation methods for latent variable models (e.g., two-step approaches or approximate maximum likelihood estimation), or (d) meta-analytic models to address complex data structures (e.g., spatial