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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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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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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
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etc) Success in research funding and/or experience in grant development and writing. A good understanding of appropriate statistical analysis techniques. Qualifications Mandatory: PhD in Biology
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 6 days ago
are stored or sent over the network. However, this is a difficult problem in general since meaningful information for the global simulation depends on the other nodes' output. The goal of this PhD is to
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the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Candidates without a master’s degree have until 31.08.2026 to complete the final exam. The purpose of the fellowship is
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methods for forensics, life sciences, topological data analysis, spatial statistics, and computational statistics). The department values an informal atmosphere with strong collegial support, openness, and
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the fundamental factors governing cation mobility in aluminosilicate materials through an integrated experimental-theoretical-computational approach. The research will probe the spatial extent and timescales of ion