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training and mentoring programme in place that consists of both key skills training and online monitoring of research progress. Project Options: Option 1 - A multi-omics spatial approach to characterise and
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preprocessing; Integration of geospatial and soil data into databases. Data processing and analysis: Application of geoprocessing and spatial analysis techniques; Development and calibration of predictive models
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from the chip and the phenotype will be further investigated using spatial transcriptomics and proteomics, allowing for the identification of therapy-relevant pathways on both gene and protein levels in
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of the sampled sites; b) Calculation of biotic indices derived from the obtained taxonomic profiles and analysis of their spatial and temporal variation and their relationship with environmental variables, as
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spring 2026. The course is conducted in person on Bard’s Annandale-on-Hudson campus. Classes meet twice weekly. Bard CEP’s GIS course provides students with the fundamentals of using spatial information
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Your Job: Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets Integrate ontologies and metadata (e.g., tissue, cell
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months - expiration date 21st november 2025 at 1:00 pm - at the Department of Information Engineering Where to apply Website http://www.unipi.it Requirements Additional Information Eligibility criteria
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modelling framework to develop new understandings Full time, four-years fixed-term, based in Hobart About the opportunity This postdoctoral research position will develop and apply an optimal spatial
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proficiency in integrating spatial data into 3D models using sophisticated interpolation techniques. Additionally, the postdoctoral researcher will contribute to transforming mining liabilities into valuable
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and how alloimmunity is suppressed in patients receiving donor hematopoietic stem cells. In addition, the lab is using novel, spatial omics approaches to more comprehensively understand transplant