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Internal Number: 1119227 Position Summary The Lark Lab at Michigan State University seeks a postdoctoral researcher with expertise in satellite remote sensing and spatial analysis to study agricultural land
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biological conservation. Additional skills that would be considered assets: • Naturalist skills, particularly on wetland biodiversity; • Previous knowledge in building a shiny app; • Experience in spatial
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illness. The neighbourhood tours will form a core component of the project's empirical work in Workstream 2, generating rich, place based‑ insights into how social and spatial determinants influence
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methods to integrate transcriptional and cellular dynamics. Analyze large-scale transcriptomic and spatial dynamics datasets. Work in close collaboration with the team's biologists to test predictions from
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to create “A Spatial Transcriptomic Atlas of Embryo-Endometrial Crosstalk During Implantation and Human Embryo Development”. This position is funded by a new collaborative grant between the laboratories of Dr
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. Pulmonary nodules from hundreds of patients are being collected and biopsied as part of a prospective imaging study. Up to 40 FFPE biopsy samples will be analyzed using spatial transcriptomics and mutREAD DNA
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learning, statistical, spatial and temporal modelling approaches to understand mental health need, crisis trajectories, service entry patterns, and system performance across rural, coastal, and small urban
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hydrological investigations. Expertise in GIS and spatial analysis of large hydrological and geological datasets. Demonstrated commitment to science communication and public engagement. FLSA Exempt Full Time
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health inequalities across Lincolnshire. You will design, implement and analyse spatial datasets, contribute to the development of an interactive geospatial dashboard and data observatory, and produce high
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laser amplifiers. Design of sophisticated laser beam delivery systems and temporal delay lines. Design and set up of ultrafast in situ plasma imaging and diagnostic systems. Spatially and temporally