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20th October 2026 Languages English English English The Department of Biology has a vacancy for a PhD Candidate in Modelling Marine Larval Dispersal and Spatial Population Genetics and Demography
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programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal cancer
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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advances in acoustic individual identification (AIID) with state-of-the-art acoustic spatial capture-recapture (SCR) modelling. Together, these will move acoustic monitoring from species detection to within
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strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced biological models, an international consortium of leading colorectal
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record of first-author publications focused on (sub)millimeter observations of Solar System objects. Proficiency in radiative transfer modeling and analysis. Expertise in modeling spatially resolved
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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 | 4 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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to ensure deep integration between innovation science, system dynamics, spatial modeling, and ecology. The specific focus of this PhD project is on spatial system mapping and decision-support design. You will
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contribute to the development of disease-representative models of brain tumours, with a particular focus on ependymoma and atypical teratoid/rhabdoid tumours, to identify precision therapy opportunities