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functional genomics, supported by extramural funding. Develop novel technologies and/or apply advanced spatial analysis to study tissue microenvironments in health and disease. Engage in undergraduate
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. Preferred Qualifications Demonstrated expertise in quantitative data analysis and statistical modeling. Experience working with large, complex, and multi-dimensional datasets. Experience with spatial analysis
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Information Science (GISc) — particularly in movement analysis — with teaching and student supervision? Have you recently earned a PhD in GISc and feel inspired to share your expertise with the next generation while
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-spatiale proposées, et l'idée de passage entre les soins en structure et au domicile. Le projet ARCADE vise à évaluer la faisabilité et l'efficacité d'un programme de rééducation cognitivo-motrice basé sur
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to the Dillon Lab’s multidisciplinary research program evaluating the sustainability of animal-source foods. The position combines spatial analysis, livestock systems modeling, and environmental assessment
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advancements in spatial bioinformatics. Assist with the epigenetic analysis performed within CIMP and MBH lab. What we offer Opportunity to become a leading-edge expert in spatial bioinformatic, being
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Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | about 2 months ago
and ecological change. The research combines critical advanced quantitative spatial analysis with qualitative and participatory approaches to connect structural inequalities with lived experience
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, xenograft models, brain tumor biology, confocal imaging, immunofluorescence and/or FISH and/or computational analysis of scRNAseq/RNAseq/spatial transcriptomics Background in brain tumor biology Knowledge
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the TME are relevant to tumour evolution and patient survival outcomes [2-4]. This PhD project will seek to investigate the prognostic value of spatial immunophenotypes in lung cancer combining high-plex
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leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and