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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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of genomic findings. The analysis could include (but is not limited to) cancer driver discovery through genomic alteration analysis (e.g., structural variants), and spatial analysis. We are seeking a highly
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development. It will involve a paradigm shift which combines geo-spatial-temporal modelling, prospective life cycle analysis, techno-economic assessment and AI methodologies. It will map and analyse
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processes that produce energy and raw materials. The Department of Reactive Transport is looking for a PhD Student (f/m/d) Experimental analysis of the sorption kinetics for radionuclides on sheet silicates
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the relevant field of study or possession of equivalent experience. We invite applications from accomplished physician-scientists or PhD scientists with expertise in spatial pathology and cancer. This is a
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ultrasound, Laboratoire d'imagerie Biomedical, LIB , https://www.lib.upmc.fr/ ) and nanoparticle engineering ( PHENIX Laboratory https://phenix.cnrs.fr/ ). The LIB is located in the Centre de Recherche des
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Position Announcement Chair, Department of Geography & Spatial Sciences, College of Earth, Ocean and Environment, University of Delaware The Department of Geography & Spatial Sciences (GEOG) is
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cover letter to: Jenny Hasija Administrative Specialist jenifer@med.umich.edu Focus area: Spatial biology quantitative analysis. The selected candidate will perform quantitative analysis of spatial
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; support multi‑omics data integration and analysis across multiple research groups; and collaborate on the development and maintenance of computational pipelines for spatially resolved transcriptomics and
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immune responses in the CNS. These tools allow us to track the spatial and temporal dynamics of T and B cell interactions during brain development and disease. This PhD project will uncover fundamental