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successful candidate will work in the AI in Medicine Lab, applying machine learning to cutting-edge problems in cancer genomics, transcriptomics, spatial transcriptomics, and large-scale bioinformatics
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focus on quality control of digital mapping products using imagery and other available spatial datasets with ArcGIS. Duties will require recognition of vegetation patterns, including familiarity with
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defined the cell types and mechanisms that instruct peripheral regulatory T cell development and tolerance to the gut microbiota (https://www.nature.com/articles/s41586-022-05309-5 ) and identified
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colleagues from FBMH. Areas of current research are novel dose delivery methods (FLASH therapy and spatially fractionated), imaging (using prompt photons and proton CT), high throughput radiobiology
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 10 days ago
à utiliser l'eau présente dans les sols. Les sols forestiers présentant une forte hétérogénéité, il est très difficile de quantifier la variabilité spatiale et temporelle des stocks d'eau accessibles
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learning, statistical, spatial and temporal modelling approaches to understand mental health need, crisis trajectories, service entry patterns, and system performance across rural, coastal, and small urban
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logistics. A key aspect of the post will be translating complex findings into clear and accessible written, visual and spatial materials, including maps, diagrams, presentations and other publication-ready
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and or pushing the performance frontier toward 30 keV. However, the FEL output critically depends on the quality of the electron bunches. Producing low-emittance beams through advanced spatial and
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process, modification of the microenvironment components, and integration with state-of-the-art research technologies such as high- and super-resolution microscopy, quantitative image analysis, spatial
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methods to biological and clinical research datasets. Primary responsibilities include analyzing bulk RNA-seq, single-cell RNA-seq, and spatial transcriptomics data; developing and maintaining reproducible