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Fixed-term – 12 months Employment period: 20.10.2026–20.10.2027 Specialization and field of activity: Archaeology – History and archaeology of Roman Dacia: GIS methods and spatial analyses, photogrammetry
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and spatial profiling, and computational analysis to advance understanding of cancer and improve patient outcomes. You will have the opportunity to contribute to impactful research projects while
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Glioblastoma (GBM) is an aggressive brain tumour whose progression is strongly influenced by communication between tumour cells and the brain microenvironment. These interactions are spatially organised
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to prepare and analyze geospatial data, maintain high-quality spatial databases, and create maps and web-based products that support research, community planning, and action. You will collaborate with
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interests and responsibilities. The division is fully equipped to study spatial and general tissue proteogenomic profiling, multiplex labeling, image analysis, and practical AI applications related
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to undertake complementary, ambitious two-year research projects in Statistical Ocean Acoustics. The programme will develop a deeper understanding of how spatial and temporal variability, coherence and
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imaging or electrophysiology, and/or proficiency in MATLAB/Python/R, and/or experience with mouse genetic models, electrophysiology, single cell RNAseq and spatial transcriptomics, behavioral assays
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the opportunity to work at the interface of developmental biology, reproductive endocrinology, and cutting-edge spatial and 3D imaging technologies, within a collaborative, well-resourced research environment in
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-doctoral research position under the supervision of Dr. Chris Smith Home | Chris Smith . Our lab studies spatial population genetics, using simulation-based inference and machine learning to infer
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6 Sep 2026 Job Information Organisation/Company CNRS Department Laboratoire "Atmosphères et Observations Spatiales" Research Field Mathematics History » History of science Researcher Profile First