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utilizing ultrasound imaging equipment in various modes and techniques, to locate, evaluate, and record pertinent anatomical, pathological, and functional research data from animal models. Schedules and
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related capabilities noted above). This leadership role offers opportunities to link to the broader imaging ecosystem at UQ, including HIRF (https://www.hirf.com.au/), and through external engagement
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and molecular genetics as well as hands-on experience with cloning, live-cell fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model
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explainable. Our team builds upon over 20 years of expertise in image processing algorithm research and more than 15 years of experience in developing open-source software for image processing and digital art
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: https://kaunasin.lt/en/live-in-kaunas/ Application Process Applications must be submitted electronically by e-mail. Deadline: 30 January 2026, 16:00 CET E-mail: talent.pool@lsmu.lt Subject line: My First
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microscopy, microscopy, light sheet fluorescence microscopy) and flow cytometry is an advantage Confident handling of Microsoft Office (Excel, PowerPoint, etc.) and image processing software (e.g. ImageJ
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. ACTIVITIES Medical image processing and 3D model reconstruction Computational model development using mechanical properties of biological tissues (from the laboratory’s work) Scientific result dissemination in
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We are looking for an enthusiastic image analyst with suitable technical expertise to support an exciting research programme focused on the development and validation of novel technologies
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Engineering, Computer Science, or a related field. Preferred: M.S. or PhD in these fields or equivalent industry experience. Software R&D activities, including software development and implementation, prototype
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HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with