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Field
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computational methods for analysing spatial omics data work with interdisciplinary collaborators to apply methods to real biological data and interpret results contribute to the supervision and mentoring of PhD
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functionality in response to global changes and restoration efforts at large spatial and temporal scales is essential to understand where action is needed and to monitor restoration success. Developments in
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hematological neoplasms and aberrant cell signaling. Utilizing multi-omics, mouse models (GEMMs/PDXs), and human biospecimens, the incumbent will conduct independent research to uncover novel therapeutic targets
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biology, spatial ‘omics, physiology), with innovative technologies and collaborative works on mammalian tissue and human organ transplantation. Harnessing these powerful approaches, our work spans multiple
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satisfactory performance. Expected salary is $70,000/year plus benefits. Preferred Qualifications: Scientific : A PhD with expertise in a relevant discipline (landscape ecology, spatial ecology and modeling
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-tracing mouse models, lung injury and tumor-initiation systems, single-nucleus multiome (RNA and ATAC) and spatial profiling, and validation in human early-stage lung adenocarcinoma specimens. The position
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Postdoc: AI-driven Urban (Re)Design for Health Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application deadline: 15
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performed by the PhD candidate will be supported by numerical modelling performed within the hosting team and by a partner team of ANR MultiMAGe. Expected skills. _Required_: 1 - Excellent understanding
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in the past, or that incorporates MAIHDA with other methods (e.g. policy analysis or spatial analysis); development of training resources, for instance an R Shiny app that helps researchers make good
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? As a PhD candidate, you will develop an integrated modelling framework to analyze the Water-Energy-Food (WEF) nexus in Controlled Environment Agriculture (CEA), including greenhouse and vertical