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; Interest in research on lipid metabolism, spatial omics and melanoma/oncology; Hands-on expertise in (spatial) lipidomics, spatial multi-omics and data analysis tools is a plus; Good command of spoken and
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and from adaptive building to spatial dispersal policies) – feed through to interest rate premia for a country on the capital market, capital requirements for banks and insurers, the investment climate
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Engineering at Harvard University seeks outstanding postdoctoral applicants with expertise in non-human primate immunology and virology or analysis of spatial omics data to join an interdisciplinary team
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and organoid platforms, genome engineering technologies, advanced microscopy, spectral flow cytometry, single-cell and spatial genomics, proteomics and biomarker laboratories, and high-performance
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fluorescence microscopy, Confocal laser scanning microscopy, Cryo-TEM and/or TEM, SEM, DLS, NTA, Zeta potential, SAXS/SANS, Fluorescence spectroscopy…). Experience in quantitative image analysis and microscopy
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. Knowledge in image analysis software (e.g., Volocity, ImageJ, etc.) highly preferred. Knowledge in spatial omics analysis and associated software (e.g., Loop Browser, SURAT, etc.) highly preferred. Knowledge
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: “Development of participatory models based on the integration of qualitative and quantitative spatially-referenced data for the co-design and evaluation of nature-based solutions.” Where to apply Website https
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– Open Category A1/A3); advanced knowledge of Geographic Information Systems (GIS) and tools for the processing, correction and analysis of vector and raster spatial data, together with knowledge
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, in different contexts and at different spatial scales. To this end, various compartments (air, water, soil, sediment) will be investigated, at the scale of a university campus (Tertre) and a
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performing data collection and data modeling Visualize data for deeper insights Generate and present technical research reports and briefings Perform statistical analysis in support of pattern of life and