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in person in São Paulo and involves single-cell and spatial transcriptomics analysis, integration of multi-disease datasets, investigation of cell–cell communication, and the development
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will commence on October 15, 2024. Applicants should hold a PhD in Computer Science or a related technical field on or before October 1, 2024. The project focuses on conducting cutting-edge research in
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, using QUASI observations for validation and pushing the frontier of coupled modeling at submesoscales. Where, how, and with whom you’ll work Both PhDs will join the Geoscience and Remote Sensing
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the Experiment grant. The candidate must have: A PhD degree in a relevant field (e.g. Molecular Biology, Neuroscience). A proven track record either in spatial transcriptomics or extracellular vesicle biology. The
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in Quantitative Eco-Epidemiology (Plague) Apply for this job See advertisement About the position Postdoctoral Research Fellow in spatial and computational disease ecology and epidemiology, focusing
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differential equations (PDEs) and modelling with PDEs. More information on ongoing research at the department can be found here. Each year, LTH admits more than 1000 new students to its engineering programmes
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of multi-modal Foundation Models that integrate single-cell omics with spatiotemporal information. The second position will address the development of a virtual tissue model, exploiting spatial
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-organization during pre-implantation development, in close connection with experimental data from live imaging and spatially resolved gene expression profiling. The work of the PhD fellow will be theoretical and
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or computational methods (e.g., remote sensing, spatial analysis, systems or integrated assessment modelling) applied to sustainability. Candidates from other methodological areas with clear environmental and
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change. Experience in quantitative methods, spatial analysis, or handling large datasets would be valuable, but full training will be provided in climate modelling, statistical downscaling, and health