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(Belgium) DC10 – ML-assisted multimodal workflows for sulfide accumulation processes in ore deposits Host/PhD: CNRS/University of Orleans (France) | Supervisor: Dr. Giada Iacono-Marziano Secondments
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maintain end-to-end EO data processing pipelines, from sensor calibration to the extraction of geophysical variables. Implement machine learning and image processing techniques to fuse optical and SAR data
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. ESSENTIAL REQUIREMENTS A PhD inMachine Learning, Computer Vision, Computer Science, Physics, Engineering, Mathematics or related areas. Documented expertise in: Machine/Deep Learning, and possibly Computer
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Engineering, Electronic Engineering, Telecommunications Engineering, Computer Science or equivalent. Candidates with PhD focusing on computational science will also be considered. Specific Requirements Basic
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Stage Researcher (R1) Positions PhD Positions Application Deadline 28 Feb 2026 - 23:59 (Europe/Rome) Country Italy Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Nov 2026 Is the job
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theranostics and multimodal imaging technologies Neuroinflammation and mechanisms of neurodegeneration AI-driven diagnostic and monitoring solutions integrating biomarkers and sensor technologies in veterinary
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literature reviews to propose promising approaches for identified problems. Contributing to the design of ad hoc solutions for the development of a system prototype and related data pipelines. Contributing
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Engineering » Process engineering Technology » Production technology Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Italy Application Deadline 31 Mar 2026 - 23:59 (Europe/Rome
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imaging of energy storage materials, with the focus on detection of light elements and monitoring of electrochemical processes. The research will be conducted primarily at the accelerator facility
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Dipartimento di Ingegneria dell'Informazione - Università degli Studi di Padova | Italy | 2 months ago
activity focuses on the acquisition and analysis of visual data, such as images and videos, for the monitoring and understanding of procedural activities in laboratory and industrial environments, aimed