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climate sensitivity hazards such as power outage due to wildfire. Experiences or publications with methods such as quasi-experimental design, case crossover design and spatial statistics are all positive
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; or 5) single-cell RNA/ATAC sequencing analysis and spatial transcriptomics. Candidates must hold a PhD degree. To apply, please visit: https://recruit.apo.ucla.edu/JPF10108 The University of California
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such as spatial biology, single-cell RNAseq Multiplex, etc and animal (mice) models such as humanized mice, PDX models and other models simulating human patients. Responsibilities Designs and conducts
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spatial biology, single-cell RNAseq Multiplex, etc and animal (mice) models such as humanized mice, PDX models and other models simulating patients. Responsibilities Designs and conducts research on cancer
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encourage all qualified candidates, regardless of background, to apply! Job description The candidate will work on large-scale data analysis of cancer transcriptomics data (bulk, single cell and spatial), and
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access to a wide range of spatial and temporal biodiversity and environmental data and a fantastic opportunity to become part of European networks of established researchers, postdocs, and graduate
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region to provide baseline information on seasonal and spatial distribution to aid in the conservation of this species. The Postdoctoral Researcher will be mentored in developing an independent research
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responsibilities include testing hypotheses and analysing scientific data from a variety of sources, including sequencing and transcriptomics (including spatial transcriptomics), reviewing and refining working
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, large-scale measurements that can be used to estimate surface variables of interest. In particular, radar data can nowadays be used to obtain maps of surface soil moisture at a high spatial resolution (a
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lead experimental efforts using advanced nanoscale optical and scanning probe techniques—including spatially and temporally resolved photoluminescence, electroluminescence, and a strong focus on