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Description Are you fascinated by how viruses overcome biological barriers to infect a cell? Do you have a strong interest in advanced microscopy, single-particle tracking or computational analysis? Are you
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, astrophysics, medical scanner, detector development, data analysis, and data science Institution: Astrocent Department of the Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences Project
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studies examining how particular kinds of instruction impact children’s learning. Much of our research focuses on children’s mathematical and spatial learning, and examines cognitive as well as affective
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workflows. Qualifications PhD in Computational Biology, Genomics, Biomedical Engineering, Neurosciences, or related fields. Proven expertise in single-cell or spatial transcriptomic/proteomic data analysis
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: Experience in method development, working with spatial data, and GIS Experience with univariate and multivariate analysis and working with large datasets Experience with working independently and organizing
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been devoted to these issues within the history of economic thought. Until recently, existing studies have focused primarily on the economic analysis of slavery and on the commercial benefits of empire
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themes: development of innovative tools for single-cell and spatial analysis of lipid immunometabolism (Subprojects 1–5); molecular pathways linking lipid metabolism to immune activation and
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Quantification and spatial analysis of immune biomarkers (e.g. TILs, immune subpopulations) Development of AI pipelines for automated analysis of whole-slide images Predictive modelling of relapse and metastasis
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areas of sustainable intensification of agriculture, climate mitigation and adaptation, livestock systems, and healthy and sustainable diets, providing analysis and insights aimed at helping to shape
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offshore wind farms or tidal stream arrays. Such wakes are important to understand and predict because of their potential to impact the energy supply from such renewable energy projects. Analysis will be