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to the ERC-PoC project NOSHAKE (a New paradigm fOr forecaSting injection-induced eartHquAKEs), funded by the European Research Council (ERC, https://erc.europa.eu/ ). The candidate will perform her/his
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science/statistics/applied mathematics/electrical engineering can also be considered given that the candidate has formal competence in machine learning and/or image analysis/computer vision Foreign completed degrees
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tools for drainage and vegetation-related failures, national-scale risk clusters, and prototype decision-support dashboards for route engineers and asset managers. The research has strong potential
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science, engineering, physics, biophysics, applied mathematics, computational biology or a related quantitative field Strong background in deep learning for image analysis / computer vision, ideally on microscopy time
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11 Dec 2025 Job Information Organisation/Company CNRS Department Institut Langevin Research Field Engineering Physics Technology Researcher Profile First Stage Researcher (R1) Country France
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analysis pipelines and to integrate imaging data into computational models. It is an opportunity to work with research groups across the Cell-Matrix Centre and the Bioimaging Facility. The appointee will be
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Oncology and Hematology of the University Hospital Zurich. The successful candidate possesses solid knowledge of computer-based methods for image analysis and the analysis of multi-omics data in the context
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Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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development. It will involve a paradigm shift which combines geo-spatial-temporal modelling, prospective life cycle analysis, techno-economic assessment and AI methodologies. It will map and analyse