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for boosting green and digital innovations” (ERA Chair Project 101186592, https://cordis.europa.eu/project/id/101186592 ), within the Centre of Biological Engineering, funded by the European Research Executive
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applicant will have a PhD in vision science, computer science, or a related field. Experience in cloud-based and mobile image processing for rapid object and face recognition and in use of head-mounted eye
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biology, engineering, biophysics, computer science) and experience in 3D imaging of brain tissue, image segmentation, and handling large datasets. You are comfortable with machine learning and image
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Torbein Kvil Gamst 1st February 2026 Languages English English English Faculty of Science and Technology PhD Fellow in AI for Satellite Image Analysis Apply for this job See advertisement
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/electrical engineering can also be considered given that the candidate has formal competence in machine learning and/or image analysis/computer vision Foreign completed degrees (M.Sc.-level) must corresponding
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop new technology for interpretation of images in the field of geoscience? Improve
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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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About Us The post will be based at St Thomas’ Hospital in central London in the School of Biomedical Engineering & Imaging Sciences at King’s College London: https://www.kcl.ac.uk/bmeis . There is
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Fellow in Deep learning for medical image analysis available at Department of Informatics. Starting date as soon as possible. The fellowship period is three years. Depending on the candidate and the
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for high resolution imaging, developing computational models of islet blood flow changes; characterizing and applying novel ultrasound contrast agents including molecular targeted agents; and use of contrast