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Field
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uses cutting-edge techniques including single-cell and spatial transcriptomics, proteomics, super-resolution microscopy, in vivo tracking, mouse models, and human patient tissues and iPS-derived cells
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machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate generative audio AI technology for production
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computational efficiency. The study will focus on the identification and treatment of regions of the domain characterized by abrupt spatial variations and by distinct flow regimes, exploiting the intrinsic
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19 Jan 2026 Job Information Organisation/Company CNRS Department Centre d'études spatiales de la biosphère Research Field Environmental science Biological sciences Geosciences Researcher Profile
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for gene regulatory networks, single-cell multi-omics integration, spatial omics, and variant effect mapping in complex disease. Strong method/tool dev experience required (Python/R, ML/stats
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strategies for sharks, turtles and climate resilience in pelagic ecosystems, helping to translate cutting-edge science into practical tools for marine spatial planning and species recovery. About the person
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: · Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics, HiC/HiCHIP, RIBO
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. Procedure Reference: IT137 -26-[ARdS1.1]6 I - Legal admission requirements I.I - Grant Recipients: Master’s degree holders, in the scientific area of Natural Sciences, Biology, Ecology or Spatial Data
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high spatial and temporal resolution. The Research Fellow will design and implement advanced bioinformatics pipelines to interrogate stem cell biology using multi-omics approaches, including RNA
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activities through field surveys and data analysis; 4. collection, processing and analysis of samples for environmental DNA (eDNA) aimed at species detection and spatial distribution assessment; 5. performance