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challenging conditions (see https://tissueresilience.com ). Harnessing powerful in vivo models, our work spans multiple biological scales - linking the molecular cell biology of individual cells to the health
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transplant rejection through cutting-edge spatial multi-omics and computational metabolic modeling. The role involves developing and implementing computational methods to integrate single-cell and spatial
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-diffusive(-thermal-chemical) behavior of fiber-reinforced composites at the micro/meso-scale. These models will incorporate uncertainty via stochastic inputs, such as random field representations of spatially
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, epidemiological, and environmental data Taking part in developing and validating predictive cancer‑risk models Contributing to spatial analysis and data integration in geographic information systems (GIS
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ The Luxembourg Institute of Science and Technology (LIST) is a
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and python for applied statistical analyses Experience in analyzing next generation sequencing data Experience in linear models and experimental design Qualifications: Masters degree in Statistics
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) • Single-cell and Spatial-omics: Experience with single-cell transcriptomics (10x), spatial transcriptomics (Xenium, 10x) and proteomics (Phenocycler, Akoya). • Clinical patient-derived models: Generating
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, or glaciology. We invite applicants to highlight experience with spatial analysis tools, such as GIS, or other quantitative approaches, which could include modeling or AI. The teaching load is three courses per
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ACCE+ DLA programme: Landscape-scale drivers and limits of endangered species spatial and temporal distribution School of Biosciences PhD Research Project Competition Funded Students Worldwide Prof
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record, in many areas of breast cancer including pathology; cell, molecular and radiation biology/radiotherapy; medical oncology/chemotherapy; translational oncology; clinical trials; pre-clinical models