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methods for spatial transcriptomics, advanced microscopy, volumetric imaging, neuronal activity mapping, and multimodal data analysis, with an initial focus on neuroscience. To build this interdisciplinary
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of computational biology. have experience with data-intensive technologies, such as the analysis of spectral flow cytometry, imaging, single-cell transcriptomics, or spatial tissue profiling data, and should be keen
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the scientific coordination and integration of the project's activities. Responsibilities include: • Data synthesis and integration across spatial and temporal scales, combining experimental, ecological
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. The position combines offshore fieldwork, laboratory analysis and modelling, with clear pathways to publication and impact. The outputs of this role will directly inform MOSAIC’s coordinated conservation
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(HPC) for biological simulations and analyses; multimodal data integration and analysis; new approach methodologies (NAMs). Precision Medicine and Biomedical Data: spatial transcriptomics and spatial
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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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developing approaches to leverage spatial data to better understand evolutionary histories. More information about the lab and their work can be found by visiting https://federlab.github.io/ About the
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the bubble size and spatial distribution, making it possible to induce and study different flow regimes (from homogeneous to highly heterogeneous) and to observe the transitions between them. These controlled
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sequencing instruments into microscopes! Your mission You will join our team, a leading group in the field of DNA nanotechnology specialized in creating molecular tools for life-science research (http
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. Your team You will collaborate with GRS colleagues who have expertise in methods and tools for spatiotemporal analysis of complex land systems (including agent-based modelling), spatial data