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image processing and physics-informed machine learning? Would you like to work together with competent and friendly colleagues in an international environment? Are you seeking an employer that offers safe
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the subcellular to the patient level. PhD projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biological approaches to the development of new imaging
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About us: The applicant will join the Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will
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-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad expertise in AI and
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of multi-layered and 3D artworks using techniques such as terahertz imaging, thermography and ultrasonics; and (ii) integrate and visualise multimodal NDE data using data fusion, digital twins and augmented
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scientists with a vivid interest in interdisciplinary projects to image cell dynamics from the subcellular to the patient level. PhD projects range from the analysis of basic cellular processes to clinical
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. Experience in deep learning, computer vision, or neural network development. Experience with live-cell microscopy, fluorescence microscopy, or analysis of 3D/4D image data. Experience in cell biological
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range of downstream tasks. Candidates will be requested to develop novel methodologies within the artificial intelligence framework for effectively and efficiently process image time series for semantic
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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imaging methodologies, biological sample preparation, vacuum technology, laser operation and optics, and electrical and mechanical engineering. Furthermore, you are expected to present your work in