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; Experience with (statistical) data analysis; Previous experience with agent-based modeling or any type of spatial modeling is beneficial; Ability to work with spatial data/GIS is an asset; Domain knowledge in
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and patient survival outcomes [2-4]. This PhD project will seek to investigate the prognostic value of spatial immunophenotypes in lung cancer combining high-plex imaging, spatial data analysis, and
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of computational tools and pipelines for spatial, temporal, and multi-omic data Support the synthesis of pilot findings and contribute to future research directions and proposals Equal Employment Opportunity
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ability to work effectively both independently and in a team environment Merits: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and
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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi
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personnel, and writing research manuscripts. Expertise in data management, spatial analysis, GIS, and R/Stata programming methods is required. The candidate will pursue established questions and will also
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We are seeking a Resource Developer for the recently launched Turner-Kirk Centre for Spatial Reasoning at the University of Glasgow. A key function of the Centre is to deliver STEM SPACE, a
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for establishing a research group dedicated to quantitatively assessing system-level implementation and market potentials of innovative climate solutions. This includes modeling climate solutions spatial and socio
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Job Description The Department of Biochemistry has an outstanding opportunity for a Research Scientist/Engineer Assistant to join their team. This position is engaged in the field of spatial omics
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Biodiversity Research in the Biodiversity Dynamics and Conservation Group, a team of about 30 persons. Our group studies patterns of biodiversity and biodiversity change at various spatial and temporal scales