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Field
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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centre for the development of medical imaging, particularly MRI. Eligibility You must be a university graduate or expecting to graduate with a 1st class degree in engineering, physics, computer science
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extraction materials. Addressing these challenges requires fundamentally new approaches that integrate mineral liberation, molecular recognition, and process engineering. This PhD project contributes
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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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Supervisors: Prof Ioan Notingher (School of Physics and Astronomy) Dr George Gordon and Dr Abdelkhalick Mohammad (Faculty of Engineering) Funding: fully-funded (stipend and PhD fees) Start date
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Referensnummer IFM-2026-00053 Work assignments This PhD position focuses on methodological and computational development in cryo-electron microscopy (cryo-EM), with emphasis on image reconstruction
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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including Master Programmes, at the Faculty
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multiphysics - Strong interest in experimental techniques and analysis of experimental data - Skills in programming and signal and image processing - Taste for interdisciplinary environment: physics, chemistry
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analysis · Tissue processing and staining · Cell/tissue imaging techniques such as fluorescence and confocal microscopy Online Application Required Documents Curriculum Vita Name and Contact Information