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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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, geomorphology, chemistry, archaeology, palaeoenvironmental sciences, pedology and human geography. It looks at environmental issues from different point of views, integrating the spatial, temporal and social
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
high spatial resolution and revisit frequency. Such infrastructures are crucial to understand our changing world and climate but also the Martian or the Moon environments and their degree of habitability
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atmospheric CO₂ and co-emitted species with inventories to improve them. Develop clustering methods to compare data under similar atmospheric conditions. Analyze spatial and satellite data to assess urban
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with a focus on next generation cancer immunotherapeutics. The candidate will support the lab in using multiparameter flow cytometry, high-throughput RNAseq, spatial transcriptomics, and other cutting
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Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g
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background in machine learning and data analysis Interest in single-cell omics, spatial data, and data integration Intellectual curiosity, independence, and motivation to tackle open-ended problems with real
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of research studies on cancers and assists in the analysis of cancer surveillance data using the New Jersey State Cancer Registry (NJSCR). The RS II will also provide advanced expertise in health geography
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This research involves mouse studies (surgery and adoptive cell transfer), wet-lab techniques (cell culture, flow cytometry and imaging), and analysis of sequencing and spatial data. The candidate is expected
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their spatial embeddedness, thereby advancing theory on generativity, sustainable transitions, social connectedness and well-being. The postdoctoral researcher will take the lead on the quantitative core