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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 5 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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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
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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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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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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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NIH awards is available in the The Peng Lab (Department of Ophthalmology, UCLA). Our laboratory combines single-cell multiomics (scRNA-seq, scATAC-seq, spatial transcriptomics), cell-surface proteomics
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Vacancies Doctoral Candidate Spatial statistics for integrating IoT field sensor data and remote sensing data for nature-inclusive solutions in tree crop diseases Key takeaways The University
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. These models will leverage data collected from multiple sources, including unmanned aerial systems (UAS), satellite imagery, ground-based sensors, and other spatial and temporal datasets. The candidate will also
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for the sustainable management of tropical tuna fisheries worldwide. In representing complex population and fishery dynamics, assessment models rely on simplifying assumptions about biological processes, spatial
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change, development patterns, spatial modeling, growth management) We are particularly interested in candidates whose work critically engages how data and AI can both reproduce and mitigate structural