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Field
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spatial transcriptomic platforms. With the breadth of ongoing research projects, there are ample opportunities to tailor the needs of the lab to the skillset and interests of the individual. Candidates with
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systems capable of spatially organizing molecular catalysts, photosensitizers and electron-transfer components to mimic the organization of natural photosynthetic membranes. The project combines
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to integrate multidisciplinary datasets across different spatial and temporal scales. Strong communication skills and a track record of research publication. For more information about the job and the person
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of neuronal populations, imaging, flow cytometry, single-cell RNA sequencing, spatial transcriptomics, and functional neuro-immune assays. Your position We are looking for a highly motivated postdoctoral
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of unique new datasets using cutting-edge experimental approaches (e.g., long-read spatial transcriptomics) across diverse organs, from the brain to the gonads, with state-of-the-art computational and deep
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implementation of spatial techno-economic models, accessibility mapping, and visual impact geodata integration, under the supervision of Dr Ross O’Connell. This work aims to support sustainable marine spatial
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sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics) – including aspects of informatics and advanced data analysis. You will be responsible
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to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics, metabolomics/proteomics) – including
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secured funding support for ~2 years. The goal of this project is to design and develop spatially explicit decision support tools and assist with updating an Implementation Plan to identify and prioritize
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-environment-climate public goods (AECPG). By combining insights from results-based, collective and spatially targeted schemes with novel financing and robust monitoring, REWARD seeks to build scalable models