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Eligibility criteria a. A PhD degree in Computer Engineering, Telecommunications Engineering, or related disciplines, or an equivalent degree obtained abroad. Pursuant to Article 38, paragraph 3 of Legislative
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computer skills with a focus on image analysis is required, for example single particle analysis (SPA) and tomography for structural biology. You are independent and flexible and can take on new challenges
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machine learning, computer vision, and medical image analysis, with publications in top-tier AI and medical image analysis conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, MICCAI, TPAMI, TIP
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Mobile Edge Computing (MEC) has emerged as a promising computing paradigm to support emerging high-performance applications by deploying resources at the network edge. However, most existing MEC
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You will: Lead a project on synaptic and circuit mechanisms underlying sensory processing in V1 Implement advanced in vivo approaches, including two-photon imaging, optogenetics, and/or
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Supervisor: Mehdi Saberi (msaberi.radiotherapy@outlook.com ) 3rd Supervisor: Ram Shanmugasundaram (ram@ukprotontherapy.co.uk) Applications are invited for a 3.5-year EPSRC funded UDLA PhD studentship
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procedures. Supervises as well as performs diagnostic imaging studies under the direction/supervision of a radiologist. Assist with the education and training of new physicians. Assist radiologists and PhD's
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(Mechanical Engineering at UCL) will also collaborate, he specialises in imaging of additive manufacturing and will support the project by assisting with the in-process monitoring. We expect that the PhD
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biology, microscopy and image analysis, and bioinformatics will be highly considered. Required languages: French and/or English. LanguagesENGLISH LanguagesFRENCH Additional Information Selection process To
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relevant field (Informatics, Computer Science, Ecology, or Biology). strong Python programming skills proven experience with Machine Learning and image processing (Deep Learning/Object Detection) strong