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simulations and laboratory studies. Candidates must submit a project proposal based on the following elements: concept and objectives; theoretical and contextual references; spatial and compositional
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to communicate in English, both spoken and written Knowledge and experience of independently performing spatial omics (data collection and analysis) Knowledge and experience of independently performing
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of statistical packages (Stata, R or equivalent). • Experience in spatial analysis and use of Geographic Information Systems (GIS). • Ability to work with large databases and data management tools. Languages
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& GIS: integrate phenology, habitat, and connectivity metrics; carry out spatial analysis and mapping. Open, reproducible science: develop transparent workflows, version control, and shareable tools and
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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
The Histology Specialist will become familiar with all aspects of working in the Pathology Services Core. These duties include, but are not limited to, image acquisition, data extraction and analysis, image
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Responsibilities: · Develop novel statistical methods for robust pathway analsysis · Develop novel statistical methods for spatial transcriptomics data analysis · Data management · R
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and established on-farm trials in Africa. Conduct spatial analysis to predict yield at scales. Contribute to the overarching goals of the research project team. Supervise master and doctoral student
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, or glaciology. We invite applicants to highlight experience with spatial analysis tools, such as GIS, or other quantitative approaches, which could include modeling or AI. The teaching load is three courses per
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Position as Computational Analyst / Bioinformatician in RNA Therapeutics and Cardiometabolic Disease
: Benchmarking existing and developing novel computational approaches for inference of microRNA activities from single-cell/nucleus and spatial omics (NGS, MassSpec). Interrogation of GWAS data for identifying