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, preferably in Python, and experience with machine learning or deep learning. Experience in computer vision, digital pathology, whole-slide image analysis, self-supervised learning, foundation models, multiple
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image analysis, data processing and machine-learning-based modelling. More about the position The main purpose of the fellowship is research training leading to the successful completion of a PhD degree
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data, including Digital Image Correlation (DIC/DVC) and three-dimensional image analysis. Generation and exploitation of digital models based on experimentally acquired geometries. Scientific programming
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, and regenerative constructs. The project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal microscopy and SEM, with computational image analysis, computer vision and machine
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chose them We value authenticity in the application process. Please use your motivation letter to explain, in your own words, why you wish to pursue a PhD and what motivates you to embark on a research
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18 Sep 2026 Job Information Organisation/Company CNRS Department Grenoble Images Parole Signal Automatique Research Field Physics Researcher Profile First Stage Researcher (R1) Application Deadline
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integrating AI with vision at the edge. Despite recent advancements, the synergy between AI and computer vision remains constrained by fundamental imaging bottlenecks. Conventional HDR techniques frequently
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Annie Spratt 18th October 2026 Languages English Norsk Bokmål English English PhD Scholarship - AI for Forest Robotics Apply for this job See advertisement Key Information The PhD fellowship aims
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leading to a PhD degree Conduct high-quality research within robotics, mechatronics, and product development Design, prototype, and experimentally validate robotic and mechatronic systems for automated
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The PhD projects listed below are embedded in 4 larger programmes: Green Steels: The Dutch steel sector faces a major transition. The production, processing, use and recovery of steel is to be made