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a cluster hire across two research areas: (1) Environmental Social Science, Education and Communication/Meaning-Making and (2) Environmental Data Science and Spatial Computing. This job listing is for
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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a cluster hire across two research areas: (1) Environmental Social Science, Education and Communication/Meaning-Making and (2) Environmental Data Science and Spatial Computing. This job listing is for
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
for high-resolution (e.g. gigapixel) imaging, or high-dimensional statistical approaches for analyzing spatial transcriptomic data. This role involves close collaboration with an interdisciplinary team
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particular, the research project will focus on inferring trajectories from spatial transcriptomics data modelling at the same time the cells evolution in gene expression and in space. Required skills : We
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-time Postdoctoral Associate to join the laboratory of Dr. Rivka Stone MD PhD at the Wound Healing and Regeneration Research Program. The Stone Laboratory is engaged in two major funded areas of wound
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requirements: • PhD diploma in related field • Excellent skills in statistical analysis • Very good knowledge of English; spoken German is a benefit • Excellent scientific and writing skills Who we are: You will
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of Medicine) and Steve Gorelick (Doerr School of Sustainability), and will work alongside a team with expertise in flood modeling and collaborators in IIT Bombay. We encourage recent graduates with a PhD or
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on available and harmonized biodiversity and environmental data. The project provides access to a wide range of spatial and temporal biodiversity and environmental data and a fantastic opportunity to become part