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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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(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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rules for non-paraxial THz imaging systems. The Department of Physical Technologies specializes in semiconductor device processing and fabrication, focusing on GaN-based structures for THz modulation
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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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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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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