Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
themes: development of innovative tools for single-cell and spatial analysis of lipid immunometabolism (Subprojects 1–5); molecular pathways linking lipid metabolism to immune activation and
-
TLDR: Build the data backbone for the next era of AI-powered spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position
-
analyst to support a research program focused on constructing a retrospective analysis of our a Wildfire Resilience Index (WRI) for the US and Canadian West (https://www.wildfireindex.org/ ). Built
-
, the approach provides nanoscale, spatially resolved chemical and electronic insights crucial for advancing energy technologies. By coupling SEHI with automated data acquisition and advanced digital analysis
-
Europe".The research activity focuses on spatial analysis and remote sensing applied to the study of soil degradation and erosion processes, with particular attention to identifying patterns, assessing
-
, selection, and clonal dynamics, using high-throughput sequencing and systems-level analysis. Work on the engineering and functional assessment of synthetic or ex vivo thymic environments to control immune
-
to improving the reliability and performance of spatial turbo-pumps. To investigate the fundamental mechanisms of these instabilities, a simplified ABS test bench was set up at IRPHE [1]. In this setup
-
models or glioblastoma research Familiarity with transcriptomic methods (RNA-seq, FISH, spatial transcriptomics) Programming skills for data analysis (Python, R, or MATLAB) We offer Funding: Full position
-
α-syn and dopaminergic neurons in a midbrain organoid odel. Integrating aged microglia with midbrain organoids will enable analysis of phenomena that recapitulate PD pathology, including α-syn
-
ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI SCIENZE BIOLOGICHE, GEOLOGICHE E AMBIENTALI | Italy | 2 months ago
Description This project enhances Earth observation data cubes by improving two key processes: image coregistration and fuzzy classification. Accurate data cubes require precise spatial alignment and reliable