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social acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a consolidated data model and advanced analytics to facilitate strategic
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. Using adipose tissue biopsies from individuals across a spectrum of metabolic disease severity, the project will leverage single-cell and spatial transcriptomics to map cellular heterogeneity and tissue
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PhD Position on Transforming Streetscapes for Healthier Cities Faculty: Faculty of Geosciences Department: Department of Human Geography and Spatial Planning Hours per week: 36 to 40 Application
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science, along with proven skills in prototyping software using real-time 3D engines and implementing machine learning models. With 50+ researchers and PhD students, the Centre for Sustainable Cyber Security (CS2
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of freshwater species which would facilitate greater spatial and temporal sampling of freshwater fishes in Madagascar. This project has a direct conservation impact providing data to support the sustainable
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Vacancies PhD position on ‘Quantitative and Spatially Resolved Mechanical and Electrical Characterization of high tech functionalized Pigments‘ Key takeaways In this project, you will develop and
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instance learning and weak supervision / spatial transcriptomics models to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine
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) Proven affinity with the application of statistical methods for data analysis of spatial and temporal datasets in the domain of agronomy, ecology and environmental sciences Proven affinity with modeling
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will employ advanced in vivo models and spatial technologies to dissect the roles of tissue-resident macrophages and infiltrating immune cells along the periphery–immune–brain axis. About us The research
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drive neuroinflammation in synucleinopathies and other neurodegenerative diseases. The candidate will employ advanced in vivo models and spatial technologies to dissect the roles of tissue-resident