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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | about 21 hours 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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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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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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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
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successful candidate will also contribute to experiments. Where to apply Website https://www.academictransfer.com/en/jobs/364062/phd-position-in-soft-matter-mod… Requirements Specific Requirements We
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geology and geology of sedimentary basin with, in particular, numerical modeling of geological processes (i.e, PhD in Earth Sciences or equivalent). Additional comments The candidate must include a single
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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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articles, reports, and project proposals. 3) Supervision: Ability to guide and train collaborators (engineers, PhD students). 4) Critical analysis: Interpretation of results and proposal of innovative models
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heavily on mouse models, willingness to work with mouse models throughout the PhD is essential. Prior experience in a laboratory or industry research environment is required. Experience with tissue culture
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and Planning division. SMoG is an internationally oriented research group investigating how urban form influences urban life through rigorous spatial analysis and empirically validated models. Its long