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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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cognitive strategies in visuo-spatial tasks. Key Responsibilities: Collaboration and support of research and administrative tasks in the field of psychology, education and guidance Self-organised and
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statistical and spatial analysis. Skills in conceptualization, design, and production of complex data visualizations to clearly communicate analytic findings. Strong critical thinking, analytical, problem
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of high-dimensional data (e.g., single-cell RNA-seq, phylogenetics, spatial data) Experience in R or Python Application instructions: Please send a CV, a brief cover letter describing your research
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing
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, CSF) and/or advanced workflows such as spatial proteomics is highly desirable Strong collaborative spirit and working in interdisciplinary environments Excellent written and verbal communication skills
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., proteomics, spatial transcriptomics, genomics, radiology). Postdoctoral applicants should have Ph.D., a solid publication record and strong professional references. The ideal candidate should have a
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agricultural transformation and small-scale producers. Priority skills are proficiency with Stata, R and spatial mapping, and familiarity with the LSMS-ISA and other agricultural and spatial data in SSA and SA
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responsibilities include testing hypotheses and analysing scientific data from a variety of sources, including sequencing and transcriptomics (including spatial transcriptomics), reviewing and refining working