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modelling. References/further reading Wang, X. Q. et al. Spatial predictors of immunotherapy response in triple-negative breast cancer. Nature 621, 868-876 (2023). Danenberg, E. et al. Breast tumor
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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 22 days ago
. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific
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. We are looking for an ambitious postdoctoral researcher to establish their therapeutic potential in advanced in vivo cancer models. You will determine efficacy, mechanism of action and tumour
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. The College offers MS and PhD degrees in optics and photonics, and a BS degree in photonic science and engineering. The faculty engages in fundamental and applied research and education in lasers
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using various model systems (BIO ). For more information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/308656/phd-fellowship Where to apply Website https://www.jobbnorge.no/en/available
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We are seeking an outstanding ecologist or environmental scientist with expertise in spatial ecology, ecosystem science or ecological modelling to lead an ambitious programme of applied ecosystem
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developed mouse models and human tissue processing pipelines. The candidate will learn and use cutting edge immunological methods (high parameter flow cytometry, multiplex imaging, single cell and spatial
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automated liquid-handling workflows on an Opentrons Flex platform (Python API). Establish and run spatial proteomics on in vitro co-cultures, engineered 3D tumor models and tissue sections. Implement clonal
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research directions include: ● Generative models of cell–cell