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graduate education in the Department of Geography focuses on the following subfields: (a) Geographic information science: cartography, GIS, data analysis and visualization, spatial analysis and modeling; (b
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) in AI for Equitable Disease Modelling to join the GeoAI for Health Equity Lab (GAHEL, pronounced “gail”) led by Dr. Sabrina Li. The PDRA will contribute to Dr. Li’s UKRI-funded Future Leaders
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: Analysis and interpretation of high-resolution single-cell RNA-seq and scATAC-seq data to elucidate cellular processes Processing and integration of spatial transcriptomics data to reveal molecular patterns
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range and optical laser pulses, combining these with near-field methods for improved spatial resolution. To better understand our results, we develop simple theoretical models. The insights gained
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-Zero X (NZx) initiative, which is building on the impactful Net-Zero America (NZA) study (https://netzeroamerica.princeton.edu/the-report) that developed uniquely-granular spatial, temporal, sectoral
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TLDR: Build the data backbone for the next era of AI-powered spatial biology. Please include a cover letter with your application detailing your qualifications and experience for this position
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(http://vanallenlab.dana-farber.org/) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts
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spatial point process models for the emergence and arrangement of objects (including birth-death dynamics, merging, and non-overlap constraints) with methods from shape analysis, in particular stochastic
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. To perform successfully in the position the appointee should have research and/or teaching experience in at least two of the following disciplines: spatial statistics and modelling spatial data-based
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Université Paris-Saclay GS Géosciences, climat, environnement et planètes | Orsay, le de France | France | about 2 months ago
chaudes naturelles des Pyrénées-Orientales, situées à la frontière entre l'Espagne, l'Andorre et la France. L'objectif est d'analyser et de comprendre leur variabilité spatiale (température, composition