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» Electronic engineeringEducation LevelPhD or equivalent Skills/Qualifications The Candidate should demonstrate knowledge and practical experience in visual systems, image processing and analysis, as
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Researcher (R2) Positions PhD Positions Application Deadline 4 Mar 2026 - 13:55 (Europe/Athens) Country Greece Type of Contract Other Type of Contract Extra Information Fixed-term, full-time (up to 12 months
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leader in the digital world. We are looking for an Assistant/Associate Professor in Video Processing and Animationwith Deep Learning to jointhe Multimedia (MM)teamin the Image, Data, Signal (IDS
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Job Purpose A key member of the Scottish Imaging Network: A Platform for Scientific Excellence (SINAPSE) is a collaboration between 6 universities (Aberdeen, Edinburgh, Glasgow, St Andrews, Stirling
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between sarcomous and carcinomous tumors. It integrates methods for segmentation (InstanSeg), cell typing (MAPS), and neighborhood analysis (CytoCommunity) to process large-scale whole-slide images
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 months ago
machine learning, 3D visualisation and real-time images (augmented reality). The main robot will the Tiago++, by PAL Robotics, which is a modern omnidirectlonal, bimanual robot. With the help of a PhD
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Yale University. The focus of their research is to develop optical microscopy tools for visualizing critical biological processes deep within their native context, with a particular focus on applications
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This research involves mouse studies (surgery and adoptive cell transfer), wet-lab techniques (cell culture, flow cytometry and imaging), and analysis of sequencing and spatial data. The candidate is expected
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provides guidance to the academic leadership and to individual faculty members on mentoring and the tenure and promotion processes. OFDD also offers professional development programming and grants
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activities: developing and testing image processing algorithms and monitoring methodologies for photovoltaic panels; evaluating the performance and efficiency of photovoltaic systems under controlled and real