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for therapeutic intervention. This PhD project will leverage large-scale single-cell RNA-seq and spatial transcriptomics datasets from infection biology to develop models, including transformer-/graph-based models
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 1 day ago
, generating and analyzing high-dimensional data, and integrating single-cell insights with complementary datasets produced within the project. You will: Design and execute single-cell and/or spatial
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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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Quantifying the distribution of the energy flux through the solar atmosphere generated by ubiquitous multi-scale vortical plasma motions School of Electrical and Electronic Engineering PhD Research
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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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research and applications of advanced spatial data analysis methods, data collection, and interpretation of remote sensing data, database system theory, mapping, spatial data distribution, development of new
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Apr 2026 - 00:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 30 Apr 2026 - 00:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date
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. Tissue sectioning for advanced spatial transcriptomic analysis. Leading the analysis of single-cell and spatial transcriptomics data. Applying and developing the analysis framework for spatiotemporal
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biochemical models, data assimilation, spatial analysis and GIS approaches. • Programing skills (e.g. R or Python) for data manipulation and visualisation, and to perform statistical analysis (e.g. mixed models