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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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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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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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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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novel technologies and/or apply advanced spatial analysis to study tissue microenvironments in health and disease. · Engage in undergraduate, graduate, and postgraduate teaching and mentoring activities
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-resolution microscopy with genome editing and advanced image analysis, we systematically assess how these methods can reveal disease-associated cellular phenotypes at unprecedented spatial resolution. Working
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of Experimental Biology, PAS Researcher career profiles (R1-R4): R2 Field of science: Neuroscience Type of recruitment: NCN Maestro Requirements: Education: PhD in Neuroscience or Bioinformatics; Professional
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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 | 9 days 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