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studies of human tissue and several in-vitro models. The group has for many years been at the forefront of the field and has established collaborations with several international research groups. The group
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with ecosystem service models and spatial datasets. Key Competencies Strong programming skills (Python/R/JavaScript) for tool and interface development. Ability to implement or learn GeoTOPSIS/VectorMCDA
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, multiplex imaging) Model spatial cellular organization, tissue architecture, and microenvironmental interactions Design multi-scale models of tissue structure, function, and disease progression Collaborate
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in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research
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approaches to analyze regional and local diversity of birds in forests and savannahs worldwide. We are keen on macroecology, biogeography, macroevolution, and modelling. We are seeking an ambitious
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various data types such as whole-genome sequencing (WGS), whole-exome sequencing (WES), RNA sequencing, spatial data, etc, and will also include rich clinical annotation to explore the clinical implications
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ovarian cancer. The laboratory has about 15 members investigating the role of metabolism and methyltransferases in ovarian cancer metastasis. We use a variety of cutting-edge methods, including spatial
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comprising computational biologists, bioengineers, and immunologists. The candidate will have access to advanced platforms for single-cell and spatial omics, 3D tissue modeling, bioreactors, and in vivo models
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sponsorship Salary: Salary commensurate with education and experience Restricted: Yes Criminal Background Check: Yes About the Department: The Center for Spatial Information Science and Systems (CSISS) is an
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data. Develop and apply machine learning models to estimate uncertainty in climate impact statements. Analyse spatial and temporal patterns and trends in climate-extreme impacts. Cross-validate