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(preferably in R and/or Python). b) Preferential factors: Familiarity with spatial data analysis and/or Machine Learning methods will be valued. Workplan and objectives to be achieved: The work plan aims
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 15 days ago
integrate molecular and mechanical insights in developmental biology. Your tasks Develop computational pipelines to integrate single-cell transcriptomics, spatial gene expression, and biomechanical
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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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) Positions PhD Positions Application Deadline 30 Apr 2026 - 12:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 39 Offer Starting Date 1 Sep 2026 Is the job
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Position Announcement Chair, Department of Geography & Spatial Sciences, College of Earth, Ocean and Environment, University of Delaware The Department of Geography & Spatial Sciences (GEOG) is
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Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically, the project will: Develop novel, modular
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molecular biology, including primary cell culture and ideally some experience with 3D systems. Familiarity with spatial or transcriptomic approaches and image analysis would be an advantage. We are looking
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-throughput biological datasets Experience with analysis of proteomics or spatial transcriptomics experiments is a plus Sound statistical knowledge and fluent programming skills using R/Bioconductor and/or
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fields: Material Science, thermal simulation, Metallurgy, Solidification of alloys,... School - Location: Centrale Lille Institute Laboratory: LaMcube Web site: http://lamcube.univ-lille.fr/ Name of
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approaches from the Digital Humanities. The successful candidate is expected to apply and further develop methods such as spatial analysis, GIS-based research, and network analysis in order to explore