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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 18 days ago
, Sep. 2025 [7] G. Liva and Y. Polyanskiy, “Unsourced Multiple Access: A Coding Paradigm for Massive Random Access,” Proceedings of the IEEE, vol. 112, no. 9, pp. 1214–1229, Sep. 2024 [8] Iman Hmedoush
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for partially crystalline material systems Developing lab-based X-ray multimodalities: X-ray diffraction & imaging presentation of scientific results through publications and on conferences active interactions
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, e.g. molecular biology, bioinformatics or related field Strong data analysis and coding skills in Python Experience with pediatric leukemias or precision oncology Experience with biological image
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the Job related to staff position within a Research Infrastructure? No Offer Description Job description We are looking for a motivated candidate interested in biophysics and live-cell imaging to join
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vacancy at Post-doctoral level in image Guided Neurosurgery. Funded by the EIC Pathfinder HyperProbe project (hyperprobe.eu ). This exciting and broadly scoped position is hosted at CREATIS Lab in the group
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
, easy to handle codes to make available the proposed methodologies to nonspecialists. He/she will work in contact with epidemiologists and will be provided real epidemiological data. An interest in
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disease modelling Investigating the role of non-coding RNAs in retinal development Understanding light-regulated pathways in retinal cells Applying cutting-edge techniques like single-cell RNA sequencing
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KEY RESPONSIBILITIES: Design and execute experiments in molecular biology, biochemistry, and single-molecule imaging. Perform RNA-Seq and bioinformatic analysis of phage-infected bacterial
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
techniques including ML-guided imaging cytometry, long-term time-lapse microscopy, and MS-based characterization of non-canonical PTMs to study how metabolites coordinate stress and development in plants
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-renal diseases. Our research spans large-scale register and laboratory data, causal and predictive modeling, and computational image analysis of kidney biopsies. About the Research Group: Led by Professor